{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":21755,"databundleVersionId":1475600,"sourceType":"competition"}],"dockerImageVersionId":30664,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"![image.png](attachment:bb28c14b-ff64-4999-b3ef-b3e39c521a6e.png)\n\n# <font color=\"#ebb73d\" face=\"Comic Sans MS\">Content - Notebook Part 1</font> \n\n- Part 0:  [Project Introduction](#1)\n- Part 1:  [Import Packages and EDA](#2)   \n  - 1.1  [Import Packages](#3)\n  - 1.2  [EDA](#4)\n- Part 2: [TPU, Load TFRecord data and Data Preprocessing](#5)\n    - 2.1 [TPU](#6)\n    - 2.2 [Load TFRecords Files and Data Preprocessing](#7)\n- Part 3: [Basics about Autoencoders and GANs](#8)\n- Rest of the notebook is [here](https://www.kaggle.com/code/jieshends2020/gan-painting-part-2) in part 2 of the notebook\n\nPhote (not from Monet though) from [Pokémon x Van Gogh Museum](https://www.vangoghmuseum.nl/en/about/collaborate/van-gogh-museum-brand-licenses/collaboration-license-partners/van-gogh-museum-x-pokemon)\n","metadata":{},"attachments":{"bb28c14b-ff64-4999-b3ef-b3e39c521a6e.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"\n\n## Kaggle won't allow me to have notebook with large than 1MB, this notebook has 2 parts. This is the first part and the second part is [here](https://www.kaggle.com/code/jieshends2020/gan-painting-part-2)","metadata":{}},{"cell_type":"markdown","source":"# <a id=\"1\"></a>\n<div style=\"text-align: center; background-color: #075674; font-size:80%; font-family:Comic Sans MS; padding: 5px;border-radius:10px 10px; color: #d3d3d3\"> \n    <h1>Part 0: Introduction 🎨</h1>\n\n</div>","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color:#f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n    \n    \n### Dataset Overview \nThe dataset originates from a Kaggle competition project. As mentioned in the [dataset](https://www.kaggle.com/competitions/gan-getting-started/data) and [project description](https://www.kaggle.com/competitions/gan-getting-started/overview),The dataset provided for this competition consists of four main directories: \n- monet_tfrec: 300 sized 256x256 Monet painting images in tfrec formats\n- monet_jpg: same  300 sized 256x256 Monet painting images in jpg formats\n- photo_tfrec: 3078 sized 256x256 photo images in tfrec formats\n- and photo_jpg: same 3078 sized 256x256 photo images in jpg formats\n\nWe'll use jpg files for EDA first and switch to tfrec for model building (TFRecord files are stored in a binary format so it's more efficient for final model use. \n\n### Project Goals, metric and focus \nProject goal: We will use a GAN network to generate photo images in the style of Monet. Submissions are evaluated on MiFID (Memorization-informed Fréchet Inception Distance), which is a modification from Fréchet Inception Distance (FID). The smaller MiFID is, the better your generated images are.\n    \nBeyond prediction: Gain insights and identify potential bottlenecks/challenges into the application of CycleGAN\n\n### Model Training Approach and highlights\nIn this notebook, we encountered memory and time constraints during model training, leading to suboptimal tuning in initial tunings. Here is a very short introduction of model training we'll do:\n- Baseline Model: We'll start with a simple CycleGAN structure that is a little simpler than the typical CycleGAN structure on papers. The generated images lack resemblance to either real photos or Monet paintings.\n\n- First Tuning: We'll explore to add layers to find a good model. CycleGAN is very sensitive to hyper-parameters, so we'll spend lots of effect to find the best fitting ones (although with limitation of resources it's limitted to small epochs and batch sizes). However, overfitting remains a persist concern after changing model structure and hyper-parameter tuning.\n\n- Second Tuning: To reduce overfiting, we'll turn to techniques like image augmentation and repeated sampling of Monet images.\n\n- Final Tuning: We'll training as long as needed (and resources allow). With longer training time, we added learning rate scheduler. Also, we'll explore to use larger batch size (which we didn't use in tuning models due to memory resource).\n    \n    ","metadata":{}},{"cell_type":"markdown","source":"# <a id=\"2\"></a>\n<div style=\"text-align: center; background-color: #075674; font-size:80%; font-family:Comic Sans MS; padding: 5px;border-radius:10px 10px; color: #d3d3d3\"> \n    <h1>Part 1: EDA 🪞</h1>\n\n</div>","metadata":{}},{"cell_type":"markdown","source":"## <a id=\"3\"></a>\n\n<div style=\"text-align: center; background-color: #f5db37; font-size:70%; font-family: Comic Sans MS; padding: 2px;border-radius:10px; color: #075674;\">\n    <h2>Part 1.1: Import Packages</h2>\n</div>","metadata":{}},{"cell_type":"code","source":"# For some reason, it seems I need to install those when using TPU or packages won't be found sometimes...\n!pip install seaborn\n!pip install pyarrow","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-04-09T03:51:51.414669Z","iopub.execute_input":"2024-04-09T03:51:51.415113Z","iopub.status.idle":"2024-04-09T03:52:23.198062Z","shell.execute_reply.started":"2024-04-09T03:51:51.415080Z","shell.execute_reply":"2024-04-09T03:52:23.196640Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Import packages\nimport os, cv2, re,logging,  warnings\nfrom kaggle_datasets import KaggleDatasets\nimport numpy as np \nimport pandas as pd\nimport matplotlib.colors as colors\nimport matplotlib.pyplot as plt\nimport matplotlib\nimport seaborn as sns\n\nimport tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\nprint(\"TensorFlow version:\", tf.__version__)","metadata":{"_kg_hide-input":false,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-04-09T03:52:23.201165Z","iopub.execute_input":"2024-04-09T03:52:23.201672Z","iopub.status.idle":"2024-04-09T03:52:39.800978Z","shell.execute_reply.started":"2024-04-09T03:52:23.201626Z","shell.execute_reply":"2024-04-09T03:52:39.799754Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## <a id=\"4\"></a>\n\n<div style=\"text-align: center; background-color: #f5db37; font-size:70%; font-family: Comic Sans MS; padding: 2px;border-radius:10px; color: #075674;\">\n    <h2>Part 1.2: EDA</h2>\n</div>","metadata":{}},{"cell_type":"markdown","source":"## <font color= #ad2004 face=\"Comic Sans MS\"> Number of Images </font>","metadata":{}},{"cell_type":"markdown","source":"We could use TFRecords files right from the beginning. But to illustrate reading data in raw format also, we will start with raw file format (.jpg) first. As mentioned in [dataset description](https://www.kaggle.com/competitions/gan-getting-started/data), the tfrec and jpg directories contain the same images, so it shouldn't matter which one(s) we use for EDA.","metadata":{}},{"cell_type":"code","source":"# File directories\nBASE_DIR = \"../input/gan-getting-started/\"\nMONET_DIR = os.path.join(BASE_DIR, \"monet_jpg\")\nPHOTO_DIR = os.path.join(BASE_DIR, \"photo_jpg\")\n\n# Display number of files in Monet and Photo directories\nprint('Number of images in Monet directory: ', len(os.listdir(MONET_DIR)))\nprint('Number of images in photo directory: ', len(os.listdir(PHOTO_DIR)))","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:39.808531Z","iopub.execute_input":"2024-04-09T03:52:39.808977Z","iopub.status.idle":"2024-04-09T03:52:40.451606Z","shell.execute_reply.started":"2024-04-09T03:52:39.808949Z","shell.execute_reply":"2024-04-09T03:52:40.450181Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## <font color= #ad2004 face=\"Comic Sans MS\"> Display Sample Images & Image Sizes</font>","metadata":{}},{"cell_type":"code","source":"# Let's display some sample images, also image sizes info\n\n# Function to display sample image \ndef display_sample_images(file_path, num_samples=4, title=\"\"):\n    all_file_names= os.listdir(file_path)\n    sample_file_names = np.random.choice(all_file_names, num_samples)\n    \n    fig, ax = plt.subplots(1, num_samples, figsize=(20, 4))\n    for i, fn in enumerate(sample_file_names):\n        sample_image_path = os.path.join(file_path, fn)\n        image_decoded = cv2.imread(sample_image_path)\n        image_decoded = cv2.cvtColor(image_decoded, cv2.COLOR_BGR2RGB)  # Convert BGR to RGB\n        ax[i].imshow(image_decoded)\n        ax[i].axis('off')\n            \n        # Print image size in titles\n        size_str = '{} {}, Shape: {}'.format(title,i+1,image_decoded.shape)\n        ax[i].set_title(size_str, color='#8d4908')\n\n    plt.show()\n\n# Display some Monet\ndisplay_sample_images(file_path=MONET_DIR, title=\"Monet\")\n# Display some real Photo\ndisplay_sample_images(PHOTO_DIR, title='Photo')","metadata":{"_kg_hide-input":false,"execution":{"iopub.status.busy":"2024-04-09T03:52:40.453726Z","iopub.execute_input":"2024-04-09T03:52:40.454690Z","iopub.status.idle":"2024-04-09T03:52:41.999514Z","shell.execute_reply.started":"2024-04-09T03:52:40.454649Z","shell.execute_reply":"2024-04-09T03:52:41.998620Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## <font color= #ad2004 face=\"Comic Sans MS\"> Images in Individual Color Chanels </font>","metadata":{}},{"cell_type":"code","source":"# Function to display sample images\ndef display_sample_images_chanels(file_path, num_samples=1, title=\"\"):\n    all_file_names= os.listdir(file_path)\n    sample_file_names = np.random.choice(all_file_names, num_samples)\n    \n    fig, ax = plt.subplots(2*num_samples, 4, figsize=(20, 4*2*num_samples))\n    for i, fn in enumerate(sample_file_names):\n        sample_image_path = os.path.join(file_path, fn)\n        image_decoded = cv2.imread(sample_image_path)\n        image_decoded = cv2.cvtColor(image_decoded, cv2.COLOR_BGR2RGB )\n        # Original image\n        ax[i*2][0].imshow(image_decoded)\n        ax[i*2][0].axis('off')\n        ax[i*2][0].set_title(f'{title} {i+1}',color='#8d4908')\n         \n        for j in range(3):\n            image_inChanel = image_decoded[:,:,j].reshape(-1)# extract array from inidividual color channel and convert to 1 D array\n            ax[i*2][j+1].hist(image_inChanel,bins=25, color=['#ad2004', '#007446', '#13358f'][j], alpha=0.3)\n            ax[i*2][j+1].set_title(f'{title} {i+1}',color='#8d4908')\n        \n        # Gray scale image\n        ax[i*2+1][0].imshow(np.mean(image_decoded, axis=2),cmap=\"gray\")\n        ax[i*2+1][0].set_title(f'{title} {i+1}', color='#8d4908')\n        \n        # Red, Green, and Blue Chanels Image\n        for k in range(3):\n            image_individual_Chanel= np.full_like(image_decoded, 0)\n            image_individual_Chanel[:, :, k] = image_decoded[:, :, k]\n            ax[i*2+1][k+1].imshow(image_individual_Chanel)\n            ax[i*2+1][k+1].set_title(f'{title} {i+1}', color='#8d4908')\n       \n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:42.000703Z","iopub.execute_input":"2024-04-09T03:52:42.002004Z","iopub.status.idle":"2024-04-09T03:52:42.016365Z","shell.execute_reply.started":"2024-04-09T03:52:42.001972Z","shell.execute_reply":"2024-04-09T03:52:42.015126Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Display Monet paintings in historgrams & images in different chanels\ndisplay_sample_images_chanels(file_path=MONET_DIR, title=\"Monet\")","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:42.017776Z","iopub.execute_input":"2024-04-09T03:52:42.018120Z","iopub.status.idle":"2024-04-09T03:52:43.861321Z","shell.execute_reply.started":"2024-04-09T03:52:42.018095Z","shell.execute_reply":"2024-04-09T03:52:43.860138Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Display real photos in historgrams & images in different chanels\ndisplay_sample_images_chanels(file_path=PHOTO_DIR, title=\"Photo\")","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:43.862695Z","iopub.execute_input":"2024-04-09T03:52:43.863365Z","iopub.status.idle":"2024-04-09T03:52:45.691154Z","shell.execute_reply.started":"2024-04-09T03:52:43.863327Z","shell.execute_reply":"2024-04-09T03:52:45.690015Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## <font color= #ad2004 face=\"Comic Sans MS\"> EDA Summary</font>\n- There are **300 Monet paintings and 3078 photos**.\n- Images have size of **(256, 256, 3)**. That is pixels have range of [0, 255], and we have 2 color channels for each images.\n- Honestly, although it's fun, but by looking at histograms and images in different chanels, it's hard to find some sort of 'trend' of Monet paintings vs. photo. I guess we need complex deep neural network to figure things out!","metadata":{}},{"cell_type":"markdown","source":"# <a id=\"5\"></a>\n<div style=\"text-align: center; background-color: #075674; font-size:80%; font-family:Comic Sans MS; padding: 5px;border-radius:10px 10px; color: #d3d3d3\"> \n    <h1>Part 2: Load TFRecord data and Data Preprocessing 🌼</h1>\n\n</div>","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n    \n## <font color=\"#075674\" face=\"Comic Sans MS\">What to do in data preprocessing?</font>       \n\n- From EDA, we found the pixels range is [0,255], we need to **scale/normalize them to the range [-1, 1]**. As for many scale/normalization methods, it ensures that all input features (pixel values) are approximately at the same scale, which can help prevent the model from becoming dominated by a small subset of features. Also, this normalization can help stabilize the training process of deep learning models because it centers the data around zero. For models like GANs, which involve generating realistic images, this normalization can help the generator and discriminator networks learn more effectively and converge faster. To do this, there are two steps:\n    - divide pixels by 127.5: to scale the values range [0, 255] to the range [0, 2]\n    - subtracting 1: to shifts the value range from [0, 2] to [-1, 1].\n- As we can see the data size is big (256 * 256 *3) and we will use CycleGAN. It's huge data work and we probably cannot survive without TPU. We will do some TPU configuration before data preprocessing.\n\n\n\n\n\n\n","metadata":{}},{"cell_type":"markdown","source":"## <a id=\"6\"></a>\n\n<div style=\"text-align: center; background-color: #f5db37; font-size:70%; font-family: Comic Sans MS; padding: 2px;border-radius:10px; color: #075674;\">\n    <h2>Part 2.1: TPU</h2>\n</div>","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n    \n## <font color=\"#075674\" face=\"Comic Sans MS\">What is TPU?</font>      \n\n- A Tensor Processing Unit(TPU) is a **custom-designed application-specific integrated circuit (ASIC)** specifically for accelerating machine learning workloads.They can provide **significant speedups compared to CPUs and GPU**s for **training and inference** tasks, especially for large-scale models and datasets\n- TPUs are **optimized to perform tensor operations**, which are fundamental to deep learning algorithms.\n- TPUs are **highly parallel** and can perform **matrix multiplication** operations very efficiently. \n- TPUs come in various forms, including **TPUs for training (TPUv2, TPUv3) and TPUs for inference (TPU Edge, TPU Enterprise)**.\n    \n## <font color=\"#075674\" face=\"Comic Sans MS\">TPU Configuration</font>  \n\n- **TPU Detection**: Need to first detect a TPU. **TPUClusterResolver() is used to detect the available TPUs**. It automatically detects TPUs associated with the current Cloud TPU project.\n- **TPU master**: is the **address of the primary TPU instance in the TPU cluster**. When you connect to a TPU cluster, TensorFlow assigns one TPU instance as the master, and it coordinates the computation across the entire TPU cluster. The TPU master handles tasks such as distributing computation across individual TPUs, managing data transfers, and coordinating training or inference processes. It serves as the central point of control for operations executed on the TPU cluster. tpu.master() can get the network address or URL that points to the TPU master instance. This address is used by TensorFlow to communicate with the TPU cluster and coordinate the execution of machine learning tasks. It's important for distributed training or inference scenarios where multiple workers may be involved in parallel computation across the TPU cluster.\n- **TPU initialization 1 - tf.config.experimental_connect_to_cluster()**: After detecting TPU, the second pat is to initialize TPU. This function call is **a part of TensorFlow's TPU initialization process**. When working with TPUs, it's necessary to establish a connection to the TPU cluster before executing any TensorFlow operations on the TPU. A few thing this function does:\n    - Connect to TPU Cluster: Establishes **a connection from your TensorFlow runtime environment to the TPU cluster** identified by the tpu parameter.\n    - Configuration and Initialization: **Internally, TensorFlow configures the environment to communicate with the TPU cluster**. This involves setting up network connections and preparing the runtime environment for TPU-specific operations.\n    - Preparation for TensorFlow Operations: Once the connection is established, **TensorFlow can distribute computation tasks across the TPU cluster**, allowing for parallel processing of machine learning operations.\n    - Ensuring Compatibility: ensuring that **TensorFlow code can execute on the TPUs seamlessly**. It sets up the necessary communication channels and prepares the TPU for receiving computational tasks.\n- **TPU initialization 2 - tf.tpu.experimental.initialize_tpu_system()**: function call is **another part of TensorFlow's TPU initialization process**. This function is responsible for initializing the TPU system, ensuring that the TPU is properly configured and ready to handle computational tasks efficiently\n   - Initialize TPU System: This function **initializes the TPU system identified by the tpu parameter**. It prepares the TPU for processing TensorFlow operations, including memory allocation, setting up communication channels, and configuring the TPU for computation.\n   - System Initialization: Internally, TensorFlow performs various initialization tasks specific to the TPU hardware. This might involve **initializing TPU cores, configuring memory hierarchy, and setting up interconnects between TPU devices in the cluster**.\n   - Ensuring Readiness: The function **ensures that the TPU system is ready to receive and execute TensorFlow computations**. It verifies that the TPU is properly configured and capable of handling the workload assigned to it\n   - Error Handling: If any errors occur during the initialization process, TensorFlow **may raise exceptions or warnings** to indicate issues with TPU setup. These errors might include connectivity problems, hardware failures, or configuration issues.\n    \n- **TPU instantiation - tf.distribute.TPUStrategy()**: replacement of deprecated \"tf.distribute.experimental.TPUStrategy()\". This strategy is specifically designed for use with TPUs (Tensor Processing Units) in TensorFlow, allowing you to efficiently utilize the computational power of a TPU cluster for training and inference tasks in TensorFlow.\n\n   - Instantiate TPUStrategy: The TPUStrategy class is part of TensorFlow's distribution strategy module (tf.distribute.experimental). It provides a way to **distribute computation across multiple TPUs in a TPU cluster**.\n   - TPU as Input Parameter: The constructor of TPUStrategy **takes a TPU cluster resolver (tpu) as an input parameter**. This resolver contains information about the TPU cluster, including its address and configuration.\n   - Strategy Initialization: When the TPUStrategy object is instantiated, TensorFlow **initializes the strategy, setting it up to distribute computation across the TPU cluster**.\n   - Usage in Distributed Training: **Once instantiated**, you can use the strategy object to define and run TensorFlow computations, such as training deep learning models, in a distributed manner across the TPUs in the cluster. TensorFlow handles the **distribution of computations transparently, leveraging the parallelism** offered by the TPUs to accelerate training.\n   \n- **Default strategy - tf.distribute.get_strategy()**: function to **retrieve the default distribution strategy** in TensorFlow, which is used when TPUs are not available or explicitly configured. It provides a consistent interface for running TensorFlow computations across various hardware configurations and environments.\n    \n- **Number of replicas - strategy.num_replicas_in_sync**: is typically **used in distributed training setups to determine the number of replicas (or workers) that are participating in the training process**. Each replica represents a separate process responsible for computing gradients and updating model parameters.\n    - Retrieve Number of Replicas: The **num_replicas_in_sync attribute of the strategy object returns the number of replicas** that are synchronized and participating in the training process.\n    - Replica Synchronization: In distributed training, it's common to **synchronize updates across replicas to ensure that all replicas are training on the same set of weights**. This synchronization is necessary to **maintain consistency** across replicas and **prevent divergent training**.\n    - Usage in Training: The **REPLICAS variable** is typically used throughout the training code to **adjust the batch size**, **learning rate scaling, and other hyperparameters based on the number of replicas**. For example, **if you have 8 replicas, you might want to increase the batch size by a factor of 8 to maintain the same effective batch size per replica**.\n    \n- **tf.data.experimental.AUTOTUNE**: In TensorFlow, the tf.data.experimental.AUTOTUNE constant is used to **dynamically tune the performance of input data pipeline operations**. When set as an argument for certain operations within the TensorFlow data pipeline, such as prefetching or parallelism settings, TensorFlow will dynamically adjust parameters based on available system resources and execution context to improve performance. It is a powerful feature in TensorFlow that helps to optimize data pipeline performance dynamically. By allowing TensorFlow to adaptively adjust parameters based on runtime conditions, **AUTOTUNE facilitates efficient resource utilization and improved training efficiency**.\n    - Dynamic Tuning: enables **dynamic tuning of parameters in the TensorFlow data pipeline**. Rather than statically setting parameters, such as **buffer sizes or the number of parallel calls**, AUTOTUNE allows TensorFlow to adjust these parameters at runtime **based on factors such as available system resources and workload characteristics**.\n    - Resource Utilization: By **dynamically adjusting parameters like prefetch buffer sizes or the degree of parallelism**, TensorFlow can optimize resource utilization during data loading and preprocessing. This optimization helps to ensure that the data pipeline efficiently utilizes available CPU, memory, and I/O resources, thereby **improving overall training throughput and efficiency**.\n    - Adaptive Behavior: is adaptive and context-aware. TensorFlow monitors system resources and workload characteristics during execution and adjusts parameters accordingly. **For example, if the system is under heavy load, AUTOTUNE might reduce prefetch buffer sizes to conserve memory, or if more CPU cores become available, it might increase the degree of parallelism for data loading operations**.\n    - Performance Impact: While AUTOTUNE can significantly improve data pipeline performance, it's essential to be mindful of its potential performance impact, especially in resource-constrained environments. Dynamically tuning parameters **may incur some overhead due to runtime adjustments and monitoring**. Therefore, it's recommended to evaluate the performance impact of AUTOTUNE in your specific use case and adjust parameters accordingly.\n    - Compatibility: AUTOTUNE is **compatible with various TensorFlow data pipeline operations, such as prefetching, parallel map, and cache**. You can use AUTOTUNE as an argument for these operations to enable dynamic tuning of parameters.\n\n\n\n\n\n\n\n\n","metadata":{}},{"cell_type":"markdown","source":"## <font color= #89a9dc face=\"Comic Sans MS\"> TPU Configuration </font>","metadata":{}},{"cell_type":"markdown","source":"We cannot just 'use' TPU. Need some code configurations first to enable TPUs in Tensorflow and Keras. Details of use of TPU in Kaggle can be found in [this article](https://www.kaggle.com/docs/tpu).","metadata":{}},{"cell_type":"code","source":"# Source code: https://www.kaggle.com/code/dimitreoliveira/introduction-to-cyclegan-monet-paintings\n\n#TPU configuration\ntry:\n    # detect the TPU\n    tpu = tf.distribute.cluster_resolver.TPUClusterResolver() \n    # print TPU master if sucessful\n    print(f'Running on TPU {tpu.master()}')\nexcept ValueError:\n    tpu = None\n\nif tpu:\n    # TPU initialization \n    tf.config.experimental_connect_to_cluster(tpu)\n    tf.tpu.experimental.initialize_tpu_system(tpu)\n    # TPU instantiation \n    strategy = tf.distribute.TPUStrategy(tpu)\n\nelse:\n    # Retrieve the default distribution strategy in TensorFlow when TPUs are not available\n    strategy = tf.distribute.get_strategy()\n\n# determine the number of replicas/workers\nREPLICAS = strategy.num_replicas_in_sync\nprint(f'REPLICAS: {REPLICAS}')\n# set up AUTOTUNE to optimize data pipeline performance dynamically\nAUTO= tf.data.experimental.AUTOTUNE","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2024-04-09T03:52:45.692413Z","iopub.execute_input":"2024-04-09T03:52:45.692789Z","iopub.status.idle":"2024-04-09T03:52:45.705109Z","shell.execute_reply.started":"2024-04-09T03:52:45.692755Z","shell.execute_reply":"2024-04-09T03:52:45.704056Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## <a id=\"7\"></a>\n\n<div style=\"text-align: center; background-color: #f5db37; font-size:70%; font-family: Comic Sans MS; padding: 2px;border-radius:10px; color: #075674;\">\n    <h2>Part 2.2: Load TFRecords Files and Data Preprocessing </h2>\n</div>","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n\n## <font color=\"#075674\" face=\"Comic Sans MS\">Why TFRecord Files?</font>      \n\n[TFReord files](https://www.kaggle.com/code/ryanholbrook/tfrecords-basics) store data in **binary format that contains sequences of byte-strings** instead of raw format (such as .jpg). This binary format has advantages:\n- Binary format require less storage space. This efficiency is particularly beneficial for large datasets where reducing storage requirements is crucial.\n- Binary format makes TFRecords the most convenient data format to use for **shards**, which are splits of files used by each independent **TPU** cores. TPU has 8 seperate cores to act as independent workers. So, let each core grab an independent shard (or piece of data) is very efficient.\n\nTo run the codes more efficiently and because we will also need to use TPU, we will load files in TFRecord format from TFRecord directories.\n\nA few notes:\n- TFRecords data needs to be serialized (encoded as a byte-string) before being written into a TFRecord.\n- TFRecords data needs to be decoded data from a serialized format back into its original structure (.ipg) for many tasks. This process is called \"parsing\".\n    \n","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n\n## <font color=\"#075674\" face=\"Comic Sans MS\">tf.train.Examples</font>      \n\n- [tf.train.Example](https://www.tensorflow.org/api_docs/python/tf/train/Example): a message type defined using protocol buffers in TensorFlow used for representing a single example in a dataset. It's commonly used when working with **TFRecord files, where each example is serialized using protocol buffers**. It provides a convenient and efficient way to represent structured data in TensorFlow datasets, making it a fundamental component of TensorFlow's data processing and input **pipeline infrastructure**.\n    \n- **Protocol Buffers (protobuf)**\n  - Protocol buffers are a language-neutral, platform-neutral, extensible mechanism **for serializing structured data**. They allow you to define the structure of your data in a .proto file, and then automatically generate code in various programming languages to manipulate that data.\n    \n- **Features and Feature Lists**\n   - In TensorFlow, tf.train.Example contains features, which are essentially **key-value mappings representing the data attributes** of a single example in a dataset. Each feature can be a single value (**tf.train.Feature**) or a list of values (**tf.train.FeatureList**). These features can have different data types, including **float, int64, and bytes**.\n    \n- **Features Data Types**\n  - **tf.train.Feature**: Represents a single data element. It has three types: **float_list, int64_list, and bytes_list**.\n    - Example: tf.train.Feature(float_list=tf.train.FloatList(value=[1.0, 2.0, 3.0]))\n  - **tf.train.FeatureList**: Represents a list of data elements. It's typically used when a feature has multiple values.\n    - Example: tf.train.FeatureList(feature=[tf.train.Feature(int64_list=tf.train.Int64List(value=[1])),          tf.train.Feature(int64_list=tf.train.Int64List(value=[2]))])\n\n- **Creating Examples**: You create a new **tf.train.Example** object by specifying its features using **tf.train.Features**.\n    \n- **Serializing**: **Once you have an Example object, you can serialize it to a binary string** using the **SerializeToString method**. This binary string is what gets stored in a **TFRecord file** or transmitted over a network.\n    \n- **Parsing**: You parse a serialized example **back into an Example object** using some functions. Parsing typically refers to the process of **converting a serialized data format into a structured representation that can be used programmatically**.\nIn TensorFlow, when we say we are \"parsing\" a serialized protocol buffer message (such as tf.train.Example), we mean that we are converting the binary string into a **more usable form, such as a Python object (e.g., tf.train.Example object)**.\n\n- **Decoding**: often refers to the process of **converting encoded or compressed data into its original form**.\nIn the context of TensorFlow, decoding is commonly used when dealing with image or text data. For example, decoding an image might involve **converting a binary string representing the image (e.g., in JPEG or PNG format) into a numerical tensor representing the pixel values**.\n- **Parsing vs. decoding**: While parsing involves understanding the structure of the **serialized** data and converting it into a **usable form**, decoding specifically refers to transforming the data into its **original or meaningful representation**.\n","metadata":{}},{"cell_type":"markdown","source":"## <font color= #89a9dc face=\"Comic Sans MS\"> Find TFRecord Files</font>\nFirst, let's get the Google Cloud Storage (GCS) path associated with a dataset.  My implementation plan:\n- **KaggleDatasets()**: a utility provided by Kaggle that allows easy access to datasets stored on Kaggle. It doesn't seem we need this anymore when using TPU though.\n- **get_gcs_path()**: a function returns the cloud storage path (GCS path), which is a  where the dataset files are stored.  It doesn't seem we need this anymore when using TPU though.\n- **tf.io.gfile.glob()**: a TensorFlow function used to find all file paths matching a given pattern.","metadata":{}},{"cell_type":"code","source":"# get Monet and Phote image filename paths\nMONET_FILENAMES = tf.io.gfile.glob('/kaggle/input/gan-getting-started/monet_tfrec/*.tfrec')\nPHOTO_FILENAMES = tf.io.gfile.glob('/kaggle/input/gan-getting-started/photo_tfrec/*.tfrec')","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:45.708426Z","iopub.execute_input":"2024-04-09T03:52:45.708751Z","iopub.status.idle":"2024-04-09T03:52:45.738374Z","shell.execute_reply.started":"2024-04-09T03:52:45.708724Z","shell.execute_reply":"2024-04-09T03:52:45.736279Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## <font color= #89a9dc face=\"Comic Sans MS\"> Numbers and sample file names of TFRecord files</font>","metadata":{}},{"cell_type":"code","source":"# source code: https://www.kaggle.com/code/dimitreoliveira/introduction-to-cyclegan-monet-paintings\n# count data items\n\ndef count_data_items(filenames):\n    n = [int(re.compile(r\"-([0-9]*)\\.\").search(filename).group(1)) for filename in filenames]\n    # print out some sample file names\n    for filename in filenames[:20]: \n        print(\"Sample filenames:\", filename)\n        \n    return np.sum(n)\n\nn_monet_samples = count_data_items(MONET_FILENAMES)\nn_photo_samples = count_data_items(PHOTO_FILENAMES)\n\nprint(f'Monet TFRecord files: {len(MONET_FILENAMES)}')\nprint(f'Monet image files: {n_monet_samples}')\nprint(f'Photo TFRecord files: {len(PHOTO_FILENAMES)}')\nprint(f'Photo image files: {n_photo_samples}')","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:45.740896Z","iopub.execute_input":"2024-04-09T03:52:45.741261Z","iopub.status.idle":"2024-04-09T03:52:45.751394Z","shell.execute_reply.started":"2024-04-09T03:52:45.741232Z","shell.execute_reply":"2024-04-09T03:52:45.750164Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- It seems each Monet .tfrec file stores 60 images. For example, 'gs://kds-e3bc68da5fa153f970a356273299b67ff39f11feb0b0e8ed12947d32/monet_tfrec/monet00-60.tfrec' stores the first 60 monet painting images. 5*60=300\n- It seems each photo .tfrec file stores 352 or 350 (for the last tfrec file) phote images. 19*352 + 350 =7038","metadata":{}},{"cell_type":"markdown","source":"## <font color= #89a9dc face=\"Comic Sans MS\"> tf.train.Examples Feature key value pairs</font>","metadata":{}},{"cell_type":"markdown","source":"Let's exact key value pairs from Examples. We will need to know the \"key\" to load data later. My implementation plan:\n- **tf.data.TFRecordDataset()**: a function used to create a TensorFlow dataset that reads data from one or more TFRecord files.\n- **tf.train.Example.FromString()**: a function used to **parse** a serialized protocol buffer message of type tf.train.Example from a byte string.\n- **.numpy()**: In the code below, it converts the **'record' tensor** from a TensorFlow tensor to a numpy array. The .numpy() method is used to extract the values from a TensorFlow tensor as a numpy array. The **tf.train.Example.FromString() function expects a byte string as its input**, representing the serialized protocol buffer message. When call record.numpy(), we're converting the TensorFlow tensor 'record' into a NumPy array, effectively extracting the byte string content from it. Therefore, record.numpy() returns the byte string content of the tensor, which is suitable for tf.train.Example.FromString(). Note TensorFlow **tensor** 'record' itself isn't a byte string.\n-  **tensor in Tensorflow**: is a multi-dimensional array containing elements of a single data type. It can have various dimensions, such as a scalar (0-D tensor), a vector (1-D tensor), a matrix (2-D tensor), or higher-dimensional arrays. In TensorFlow, tensors are the fundamental data structures used for representing data and performing operations. They can hold both constant and variable values, and they are the primary objects manipulated by TensorFlow operations.tensors in TensorFlow can be conceptually understood as multi-dimensional arrays, they are not directly equivalent to NumPy arrays\n","metadata":{}},{"cell_type":"code","source":"# Path to a sample TFRecord file\ntemp_filename = ['/kaggle/input/gan-getting-started/monet_tfrec/monet00-60.tfrec']  # List of TFRecord filenames\n\n# Create a TFRecordDataset from the TFRecord file\ndataset = tf.data.TFRecordDataset(temp_filename)\n\n# Get the first record in the dataset\nrecord = next(iter(dataset))\n\n# Parse the serialized record into a tf.train.Example object\nexample = tf.train.Example.FromString(record.numpy())\n\n# Extract the feature keys and their values\nfeature_keys = example.features.feature.keys()\nfeature_values = {key: example.features.feature[key] for key in feature_keys}\n\n# Print the feature keys and their values\nfor key, value in feature_values.items():\n    print(\"\\nFeature Key:\", key)\n    if key == 'image':  # Check if the feature key is 'image'\n        # Print only the first 100 characters of the image feature value\n        print(\"Feature Value (first 10 items):\", value.bytes_list.value[0][:10], \"...\")\n    else:\n        print(\"Feature Value:\", value)","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:45.752985Z","iopub.execute_input":"2024-04-09T03:52:45.753626Z","iopub.status.idle":"2024-04-09T03:52:45.869023Z","shell.execute_reply.started":"2024-04-09T03:52:45.753596Z","shell.execute_reply":"2024-04-09T03:52:45.868160Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"- It seems the keys are 'image' (which looks like b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF...'), 'image_name', and 'target' (probably either 'monet' or 'photo')","metadata":{}},{"cell_type":"markdown","source":"## <font color= #89a9dc face=\"Comic Sans MS\"> Load TFRecord data</font>","metadata":{}},{"cell_type":"markdown","source":"Let's start to load data.  My implementation plan:\n### Useful functions for loading data\nWe've seen the Example features above. Now, we are ready to load data! As we've mentioned, data in TFRecords are serialized. This serialized example is not yet in a usable form for training a model, so there are a bit of things to do. First, a few useful stuff:\n- **tf.image.decode_jpeg(image, channels=CHANNELS)**: This function decodes a JPEG-encoded image into a tensor. It takes two parameters: the image which is a byte string representing the JPEG image, and the channels parameter, which specifies the number of color channels in the decoded image. Here, CHANNELS is a variable presumably defining the number of channels in the image (e.g., 3 for RGB images). The function returns a tensor representing the decoded image.\n- [tf.io.FixedLenFeature()](https://www.tensorflow.org/api_docs/python/tf/io/FixedLenFeature): a function used in TensorFlow to specify the expected shape and data type of a feature when parsing TFRecord examples. It is commonly used in conjunction with tf.io.parse_single_example or tf.io.parse_example functions to parse serialized examples from TFRecord files.\n- [tf.io.parse_single_example()](https://www.tensorflow.org/api_docs/python/tf/io/parse_single_example): a function used to parse a single example from a serialized protobuf message, such as those stored in TFRecord files. It takes **two arguments: a serialized example** and a **feature description dictionary.**\nThe feature description **dictionary specifies the expected features and their types for parsing the example.** (We've seen in code above, the dictionary keys are 'target','image', and 'image_name').\nThis function parses the serialized example according to the provided feature description and returns a dictionary of parsed features.\n\n","metadata":{}},{"cell_type":"code","source":"# decode and normailization function \ndef decode_and_rescale(image):\n    image = tf.image.decode_jpeg(image, channels=3)\n    image = (tf.cast(image, tf.float32) / 127.5) - 1\n    # Just to enforce all image to be consistent shape (256*256*3) although mostly likely they are\n    image = tf.reshape(image, [256, 256, 3]) \n    return image\n\n# read TFRecord function - parse and then decode\ndef read_tfrecord(example): \n    '''\n    Input: \n    - example: This is a single serialized example from a TFRecord file. Each example typically contains features stored as serialized tensors.\n    ''' \n    # tfrecord_format: This dictionary defines the expected features and their types in the serialized example. \n    # Each feature is specified with its name and a tf.io.FixedLenFeature indicating the expected shape and data type.\n    tfrecord_format = {\n        'image_name': tf.io.FixedLenFeature([], tf.string),\n        'image':      tf.io.FixedLenFeature([], tf.string),\n        'target':     tf.io.FixedLenFeature([], tf.string)\n    }\n    # parses the serialized example using the provided format specification. \n    # It decodes the serialized features into their corresponding tensors according to the specified format.\n    example = tf.io.parse_single_example(example, tfrecord_format)\n    image = decode_and_rescale(example['image'])\n    return image","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:45.870270Z","iopub.execute_input":"2024-04-09T03:52:45.871022Z","iopub.status.idle":"2024-04-09T03:52:45.880390Z","shell.execute_reply.started":"2024-04-09T03:52:45.870991Z","shell.execute_reply":"2024-04-09T03:52:45.879529Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Let's load data!\n# load data function\ndef load_dataset(filenames, labeled=True, ordered=False):\n    dataset = tf.data.TFRecordDataset(filenames)\n    dataset = dataset.map(read_tfrecord, num_parallel_calls=AUTO)\n    return dataset\n\n# Monet\nmonet_ds = load_dataset(MONET_FILENAMES, labeled=True).batch(1)\n# Photo\nphoto_ds = load_dataset(PHOTO_FILENAMES, labeled=True).batch(1)","metadata":{"execution":{"iopub.status.busy":"2024-04-09T03:52:45.881637Z","iopub.execute_input":"2024-04-09T03:52:45.881966Z","iopub.status.idle":"2024-04-09T03:52:46.106886Z","shell.execute_reply.started":"2024-04-09T03:52:45.881930Z","shell.execute_reply":"2024-04-09T03:52:46.106002Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# <a id=\"8\"></a>\n<div style=\"text-align: center; background-color: #075674; font-size:80%; font-family:Comic Sans MS; padding: 5px;border-radius:10px 10px; color: #d3d3d3\"> \n    <h1>Part 3: Basics about Autoencoders and GANs 🌾</h1>\n\n</div>","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n    \n## <font color=\"#075674\" face=\"Comic Sans MS\"> Unsupervised learning in deep learning</font>    \n\nA few years ago, a famous researcher Yann LeCun mentioned this [Cake Analogy](https://medium.com/syncedreview/yann-lecun-cake-analogy-2-0-a361da560dae) that unsupervised learning is like the cake body of a cake. (For comparison, he also mentioned that the supervised learning is only like the icing of the cake. 😆) It's valuable to learn some unsupervised techiniques/approachs in deep learning. Here are a couple of them:\n- **Self-supervision**\n   - Self-supervision can be considered a subfield or a branch within the broader category of unsupervised learning.\n   - Instead of letting human to produce labels, we **auto-generate labels from another task(s)** that is related to the original task but different (called **surrogate task**).\n   - Example of surrogate task:\n      - Classify the image rotation angles\n      - Classify whether the local feature from one image is the same as the global feature from another image.\n- **Generative approachs/models**\n  - Generative approach is one type of upsupervised approach. It is a class of algorithms or models that **generate the data distributions**. \n  - One key idea is **density modeling**, which we generate data such that the generated data distribution resembles the real data (instead of generate exactly the same training data)\n  - Can generate diffrent types of data: images, text, audio, viedo, style transfer etc.\n","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n\n## <font color=\"#075674\" face=\"Comic Sans MS\"> Autoencoders</font>    \n\n    \n<img src=\"https://www.mathworks.com/discovery/autoencoder/_jcr_content/mainParsys/image_copy.adapt.1200.medium.svg/1706515214978.svg\" alt=\"An autoencoder removes noise (red r) from an image (dotted background with red r).\"/>    <br>\n  (Autoencoder image from [this article](https://www.mathworks.com/discovery/autoencoder.html). Check it out for more details.)   <br>\n- Autoencoders is **a family of generative models** using neural networks (one another family is GANs). The goal is to enforce the input and output (usually images but can be other data types) to look the same or similar.\n- The models **often have a symmetric shape**.\n- Encoder and decoder of autoencoders:\n    - Encoder: to condense the information **from the input (image for example) to a latent feature space, or \"latent representation\"**. We can think of **encoders as to extract features**.\n    - Decoder: to decode the latent representation into an output. We can think of **decoders as to create outputs (images)**\n- The **latent representation** helps the neural network learn some useful features. Here is how:\n    - The latent feature dimension is smaller than the input dimention, this compresses the input data into a lower-dimensional latent-space representation. We can think of this latent-space representation as some sort of summary of useful features. \n    - If the latent feature dimension is the same as the input, it would basically just copy the input. Not very helpful!\n- Autoencoders (or part of autoencoders) are trained to make the generated output the same as the input. To do this, we optimize by **minimize the reconstruction loss**, which is basically for example, the pixel by pixel image comparison on input and output image differences/losses (and then sum or average them up). The reconstrution loss can be for example MSE, or BCE (binary cross-entropy loss).\n- Autoencoders can also be used for dimension reduction.<br>\n   \n \n## <font color=\"#075674\" face=\"Comic Sans MS\">Example types of autoencoders</font>        \n\n- Vanilla autoencoder: the simplest form of autoencoder, consisting of an encoder network that compresses the input data into a latent representation, and a decoder network that reconstructs the original input from the latent representation. \n    \n- Denoise autoencoder:\n   - Some noise (often some Gaussian noise) will be added to input. This **'noisy input'** will be passed to the autoencoder. \n   - The task is to **output some uncorrupted output that look exactly like the input without noise**. (To do this, we optimize by minimize the reconstruction loss as mentioned above.)\n   - Very good at **reconstruct corrupted images**. Even if images aren't corrupted, denoise autoencoder can still **learn more robustly**. Note there are some other ways to add noise to input, for example, we use drop out layers to have effect of noisy inputs, and etc.\n    \n- Variational autoencoder (VAE): <br>\n![image.png](attachment:3b7d8654-eb12-41ef-b391-7a20658698cf.png) <br>\n(VAE image from [this article](https://medium.com/geekculture/variational-autoencoder-vae-9b8ce5475f68). Check it out for more details.)\n - Unlike vanilla and denoise autoencoders, VAE learns **parameters (mean $\\boldsymbol{\\mu}$ and variance $\\boldsymbol{\\sigma}$ ) of latent representation feature's probability distribution** intead of just fixed numbers of feature representation.\n - As we can see from the graph above, the latent space is defined by a mean ($\\boldsymbol{\\mu}$) and variance ($\\boldsymbol{\\sigma}$). The randomness in this space arises from both the variance ($\\boldsymbol{\\sigma}$) added to $\\boldsymbol{\\mu}$ and the noise ($\\boldsymbol{\\epsilon}$) scaled by $\\boldsymbol{\\sigma}$. This particular setup enables the model to generate similar but not identical outputs to the input data. \n - VAE loss = KL loss + Reconstruction loss. <br> \n![image.png](attachment:8d1705be-ad7b-4aa2-a26c-214d050af294.png) <br>\n (Formula image from [stackoverflow](https://stackoverflow.com/questions/45564706/why-the-loss-of-variational-autoencoder-in-many-implementations-have-opposite-si). Check it out for more details.) <br>\n - We've discussed reconstruction loss before, all autoencoders usually have this loss function. The additional part is the KL loss (Kullback-Leibler Divergence loss): \\begin{equation}\\frac{1}{2} \\sum_{i=1}^{J} \\left(1 + \\log((\\sigma_j^{(i)})^2) - (\\mu_j^{(i)})^2 - (\\sigma_j^{(i)})^2\\right) \\end{equation} \n - The **KL loss measures the distance of two data distribution**. The similar the distribution, the less then KL loss. By aiming to minimizing the KL loss as well, the model is forced to generate outputs that have similar distributions to real training input\n    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"},"8d1705be-ad7b-4aa2-a26c-214d050af294.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n    \n \n## <font color=\"#075674\" face=\"Comic Sans MS\">GANs</font>    \n\n![image.png](attachment:8f5b39fc-2fdf-4bce-b76a-9d042df94cf1.png)<br>\n(GANS image from [this article](https://bdtechtalks.com/2018/05/28/generative-adversarial-networks-artificial-intelligence-ian-goodfellow/). Check it out for more details.) \n    \n- Generative Adversarial Networks (GANs) is one another family of generative models. They are similar to VAEs in their role as **generative models aimed at understanding the underlying distribution of a dataset and generating new data samples**. However, unlike VAEs, which focus on learning the parameters (mean $\\boldsymbol{\\mu}$ and variance $\\boldsymbol{\\sigma}$) of a latent representation feature's probability distribution, GANs **employ a distinctive approach utilizing a generator and a discriminator network**.\n- An important part of GAN is **adversarial training**, which uses both **generative approach and creating an adversarial task** which classify the image (real or fake).\n- First **generator** tries to generate a fake image from a **random noise (called latent space**). And initially, the generator wouldn't be good at it (so it will just output some noisy like images that are the same size as the real images). \n- Then, at batch iterations, both real and fake images would be sent to discriminator. The **discriminator's job** is to correctly **classify the images as fake or real**. And initially, the discriminator won't do a good job too because the parameters haven't been trained. \n- This is also type of **self-supervision**, which we can create labels already by trying to tell if the images are fake or real (the **surrogate task**)\n- After self-supervision, the discriminator can update it's weight. And, it also update the generator's weight. GANs use **Gradient Descent**, which is to minimize the loss for discriminator and **Gradient Ascent** for Generator, which is to maximize the loss.\n- Overtime, both of the generator and discriminator would get smarter. And eventually, the generator can generator real-looking images and the discriminator would do good job to tell if the image is fake or real.\n- It's important to know the generator and the discriminator compete with each other as well as need to **achieve a balance between each other** (which can be one challenge part of GAN training in practice). \n    - If the discriminator outperforms the generator too quickly,it would be too challenging for the generator to improve and produce realistic samples. This may lead to what's called **\"mode collapse\"**, where the generator fails to explore the entire data distribution and produces limited varieties of samples. That is, generated images converge to the same image (the same optimal point). Although full mode collapse is not common, partial collapse happens often. \n    - If the generator outperforms the discriminator too quickly, it may generate samples that are too realistic, causing the discriminator to struggle to distinguish between real and fake samples. In this case, the discriminator fails to provide useful gradients to the generator for improvement.\n- We know [binary cross-entropy](https://towardsdatascience.com/where-did-the-binary-cross-entropy-loss-function-come-from-ac3de349a715#:~:text=Using%20a%20concept%20called%20maximum,product%20of%20multiple%20Bernoulli%20trials.) is used for binary classifications loss function. It is derived by maximize the [maximum likelihood](https://en.wikipedia.org/wiki/Maximum_likelihood_estimation) of existing samples with bernoulli distribution (1 or 0). The **Minimax objective function**, which is used in the original GAN paper, is motivated by binary cross-entropy. But note there are 2 parts for discriminator D and 1 part for generator G. \n    - For discriminator D, the first part is when the label is real (real image is sent to discriminator), here the discriminator want logD(x) to be 1 (probability the real Monet painting discriminated to be real Monet painting to be 1) or to **maximize** the expected value of [logD(x)]. The second part is when the label (G(z) instead of x) is sent to the discriminator D, we want D(G(z)) to be 0 (discriminator think the probability G(z) is a real Monet painting to be 0) or **maximize** the expected value of [log(1-D(G(z))]. So, discriminator cares to both maximize expected value of [logD(x)] and [log(1-D(G(z))]. So, gradient descent is used for discriminator D, which is to minimize the loss function.\n    - For generator G, we want the discrimator to think G(z) as 1 (real image). That is, generator G only cares to **minimize** the expected value of  [log(1-D(G(z))] or maximize the second part of loss function (gradient ascent). (Only the second part of loss function below also belongs to generator G to minimize, while both parts belong to discriminator D to maximize.) <br>\n![image.png](attachment:cf50e569-9d7e-46cd-ae91-44058afeed00.png) <br>\n    \n    (Formula image from [Analytics Vidhya](https://www.analyticsvidhya.com/blog/2021/06/a-detailed-explanation-of-gan-with-implementation-using-tensorflow-and-keras/). Check it out for more details. The term Ex~pdata(x) [log D(x)] can be read as expected value of log(D(x)) when x is sampled from pdata(x) and similar for the second term.) <br>\n    \n- Because we have a bunch of (instead of just one) images, and all we tell the model is whether the image resembel the real one or not instead of let the model have any pixel to pixel comparison of real vs. fake images like the reconstruction loss function part of autoencoder does (although VAE has another part in loss functions for distribution similarity but things work in different ways as mentioned above), we forced the GAN model to learn the underlying distribution of a dataset and generating new data samples that has same distribution. \n- For GANS, not using explicit likelihood (based on \"real\" distibution functions using $\\boldsymbol{\\mu}$ and $\\boldsymbol{\\sigma}$ ) in loss functions and not use distribution functions (like VAEs) has both pros and cons.\n    - Not like VAEs, which basically use distriubtion function, may struggle to capture complex data distributions, leading to limited diversity in generated samples, **GANs maybe capable to produce diverse outputs by learning the complex data distribution**. This diversity enables the generation of various samples with different characteristics.\n    - Not like VAEs, which prioritize reconstruction loss over sample quality may more often produce samples with less sharpness and realism, **GANs maybe capable to produce more real looking, high quality images** because that's what GANs loss function really focus on.\n    - As there is no explicit likelihood function to measure model performance in GANs, **evaluating the performance can be challenging**. Metrics like **Inception Score and Frechet Inception Distance are commonly used but have limitations**. In comparison, VAEs explicitly model the likelihood of the data, providing a probabilistic framework for generative modeling. This makes them well-suited for tasks requiring uncertainty estimation and likelihood evaluation.\n- The **original GAN paper** use this **minimax loss function** but later there are **some other loss function that could make the model more stable** (such as WGAN-GP)","metadata":{},"attachments":{"8f5b39fc-2fdf-4bce-b76a-9d042df94cf1.png":{"image/png":"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"},"cf50e569-9d7e-46cd-ae91-44058afeed00.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color:black\">\n\n     \n## <font color=\"#075674\" face=\"Comic Sans MS\">DCGAN</font>    \n\n- **Deep Convolutional Generative Adversarial Network (DCGAN)**: One of the most popular network design for GANs (or originated from). It leverages deep **convolutional neural networks** (CNNs) for both the generator and discriminator networks that are good at produce high-quality synthetic images:\n   - **Gets rid of max-pooling which destroys spatial information and hurts the image quality**.\n   - **Replaces all max pooling with convolutional stride**. Convolutional stride are used in the discriminator to **downsample the input images**.\n   - **Transposed convolutions** (also known as deconvolutions) are used in the generator to **upsample the latent input into higher-resolution images**.   \n   - **Batch Normalization**: Batch normalization is applied to the activations of both the generator and discriminator networks, helping stabilize training and accelerate convergence.\n   - No Fully Connected Layers: DCGANs typically **avoid fully connected layers** in favor of using **global average pooling** in the **discriminator** and **reshaping** operations in the **generator**.\n   - Activation Functions: Commonly used activation functions like **ReLU** (Rectified Linear Unit) are employed in the **hidden layers** of both networks, with the exception of the **output layer of the generator** (which often uses **Tanh**) and the **output layer of the discriminator** (which often uses **Sigmoid**).\n","metadata":{}},{"cell_type":"markdown","source":"<div style=\"background-color: #f4f4f4; padding: 10px;\">\n<span style=\"font-size: larger; color: black\">\n\n## <font color=\"#075674\" face=\"Comic Sans MS\">CycleGAN</font>    \n\n  (For details, it's good to read the [original paper](https://arxiv.org/abs/1703.10593). Surprisingly, it's not very hard to read. Also, I find [this article](https://www.scaler.com/topics/cyclegan/) to be really helpful.)\n  - CycleGAN can **learn to translate images from one domain to another without the need for paired examples**. For example, we won't have the real photos relate to the corresponding Monet paintings. Rather, CycleGAN can learn the style of images in one domain and apply the style to images in another domain. \n  - One part is related to **adversarial training** (as many other GANs), which only care if the generated/transfered images from one domain resemble the real images in another domain. There will be 2 generators (F & G) and 2 discriminators (Dy & Dx using **adversary losses**):\n    - It uses a generator **G to convert images in X domain to Y domain** (real pictures to Monet style paintings). Here, X domain images can be the images transfered from y too (photos can be either original real photos or those \"photos\" generated/transfered from Monet paintings). A **discriminator Dy** is used to make sure the transfer image G(X) (or G(F(Y)) does resemble images in Y domain. (Ex: Transfered photo to Monet style painting do look like real Monet paintings).\n    - Similarly, it uses another generator **F to convert images in Y domain to X domain** (Monet paintings or transfered \"Monet paitings\" from real photos to real photos). A **discriminator Dx** is used to make sure the generated/transfered images F(Y) (or F(G(X)) do resemble images in X domain (generated photos or 'photos' do look like real photos).\n  - Wait, after I transfer a photo to Monet style paining using generator G, yup it does look like a real Monet painting, but what if the generated image doesn't look like my original photo anymore (and vice vera for photo generator F)? That is, what if generator G transfered my photo to something completely not related to my original photo? 🙀 No worry, CycleGAN does argue that the learned mapping functions should be cycle-consistent. **Cycle consistency Loss**, another part of CycleGAN loss function comes to help here to make sure the generated monet style paintings do look like the original photo when transfer back to the photo (and vice versa). There will be 2 cycle consistency losses to be monitored:\n    - **Forward cycle consistency loss**: to monitor for each images x from domain X, the image translation cycle should be able to bring x back to the original image (when we transfer Monet style painting generated by a real photo back to photo, it should look like the original photo). That is, F(G(x)) should be close to x.\n    - **Backward cycle consistency loss**: Similar to the forward one, it monitors G(F(y)) to be close to y.\n    \n  - Finally, here is the objective function (model's goal to maximize or minimize):<br>\n    - First part is for **adversary training**. It is to ensure the transfered images resemble the transfered domain images well:<br>\n      - We have adversary objective part for generator G and distriminator Dy. Note for generator G, it wants the generated image G(x) to look like 1 to discriminator Dy. That is, wants D(G(x)) to be 1 or minimize the expected value of [D(G(x))-1]^2. For Discriminator Dy, it wants D(G(x)) to be 0 and D(y) (when real Monet painitng y sent to discriminator) to be 1:<br>\n    ![image.png](attachment:bc8c70c8-e636-4224-af7b-097d9561bcd0.png) <br>\n      - Similary, there will be an adversary objective function for generator F and discrimator Dx.\n    - Second part is for **cycle consistency** (**reconstruction cost**), which measures the L1-norm reconstruction cost for the real image (x → y → reconstructed x) and the Monet paintings (y → x → reconstructed y). This part ensures that the translated images maintain their original content when mapped back to their original domain. The cycle consistency loss for both G and F: <br>\n    ![image.png](attachment:81205639-4653-4138-a252-7035d199eae7.png) <br>\n\n    - Adding adversary and cycle consistency objective functions together, we get the final objective function. We have $\\lambda$ here to control the relative importance of the two objective parts: <br>\n    ![image.png](attachment:c0287d9f-7057-41f9-bde6-fa42df168e4c.png)<br>\n    (Images from [this article](https://jonathan-hui.medium.com/gan-cyclegan-6a50e7600d7), it has more details of CycleGAN as well. )\n  - Lastly, to reduce model oscillation, instead of updating the discriminator using the last generated image by the latest generators, CycleGAN retains a history of the last 50 generated images to train the discriminator. That is, the discriminator will not be overzealous in beating the current generator. It needs to beat the last 50 generators to create a more generalized solution.","metadata":{},"attachments":{"bc8c70c8-e636-4224-af7b-097d9561bcd0.png":{"image/png":"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"},"81205639-4653-4138-a252-7035d199eae7.png":{"image/png":"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"},"c0287d9f-7057-41f9-bde6-fa42df168e4c.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"\n\n\n## To continuou, [HERE](https://www.kaggle.com/code/jieshends2020/gan-painting-part-2) is part 2 of the notebook.","metadata":{}}]}