{"cells":[{"metadata":{},"cell_type":"markdown","source":"## Introduction\n\nThe goal of this notebook is to introduce you the end-to-end process involved in a Image Classification project. We will be working on the Kannada version of <a href=\"https://www.kaggle.com/c/digit-recognizer/\">MNIST</a> data unlike using the Arabic Numerals. \n\nKannada is a language spoken predominantly by people of Karnataka in southwestern India. The language has roughly 45 million native speakers and is written using the Kannada script.\n\nI will be answering the following questions through code in this kernel:\n- How to  define the objective?\n- How to understand our data?\n- How to prepare the data?\n- How to work with simple models?\n- What are convolutions?\n- How to build one?\n- How to evaluate our model?\n- Why you need to give an upvote for this kernel?\n\n==> If you want to travel along please fork this notebook and execute the cells when needed."},{"metadata":{},"cell_type":"markdown","source":"## Understanding the objective\n\nLet us take some time to understand what we are trying to achieve in this project. Most of the Machine Learning projects fail just because of not setting a clear objective. Always remember, \n> One who knows where to go, is the one who moves ahead\n\nIn our case, our objective is to build a classification model which inputs an image of handwritten kannada digit and outputs the predicted number in that image.\n\n**Evaluation Metric:** Accuracy \n\n**Metric Definition:** The percentage of correct prediction (Total correct predictions / Total samples)"},{"metadata":{},"cell_type":"markdown","source":"## Understanding our data\nIn our scenario the data is readily available but that is not the case for all the Machine Learning projects. You need to typically gather relevant data from multiple sources. If needed you might want to generate your data as well."},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"# Importing the required libraries\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\n%matplotlib inline\n\nimport os\nimport time\nimport warnings\nwarnings.filterwarnings(\"ignore\")\n\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.metrics import confusion_matrix\n\nimport tensorflow as tf\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.neighbors import KNeighborsClassifier","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Discovering the files available\npath = \"../input/Kannada-MNIST/\"\nos.listdir(path)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Importing the data\ntrain = pd.read_csv(path+\"train.csv\")\ntest = pd.read_csv(path+\"test.csv\")\nsubmission = pd.read_csv(path+\"sample_submission.csv\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Check the shape of our data\ntrain.shape, test.shape","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The data contains 785 columns, one for each pixel and a label column (ground-truth) for every data point. To make things simple each data point contains information about 28 x 28 pixel image + a label column."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Check the data samples\ntrain.head(3)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Check for any missing values\ntrain.isnull().sum().sum(), test.isnull().sum().sum()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Look's like there are no missing values in the dataset. Hurray!"},{"metadata":{"trusted":true},"cell_type":"code","source":"# Let us understand our target variable's distribution\nsns.countplot(train[\"label\"])\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"This is a balanced dataset, which means that we have an equal number of data samples for all the target classes. But in the case of an unbalanced dataset, we must handle that with the help of different sampling techniques as it could affect the model's performance.\n\nFor visualizing the image we need to convert it into a 3 dimensional data where the third dimension denotes the color channel. 1 - Grayscale, 3 - RGB "},{"metadata":{"trusted":true},"cell_type":"code","source":"# Looking at individual samples\ndef visualize_image(ix=0):\n    plt.imshow(train.iloc[ix, 1:].values.reshape(28, 28, 1)[:, :, 0])\n    plt.title(\"Class = \" + str(train[\"label\"].loc[ix]))\n    plt.show()\n\nvisualize_image(1)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Method 1: Simple Classifiers\nWe will build some simple classifiers using linear and tree based models and then I will let you know why we need to go for convolutions than sticking with simple models."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Setting the seed\nseed = 10","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Splitting target and features\ntarget = train[\"label\"]\nfeatures = train.drop(\"label\", 1)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Let us reduce the dimension from 784 to 2 so that we can visualize our data better."},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.decomposition import PCA\nfrom umap import UMAP\n\npca = PCA(random_state=seed, n_components=50)\n%time pca_features = pca.fit_transform(features)\n\numap = UMAP(n_neighbors=10, metric=\"cosine\", random_state=seed, n_epochs=300)\n%time umap_features = umap.fit_transform(pca_features)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(10, 7))\nsns.scatterplot(umap_features[:, 0], umap_features[:, 1], hue=target, palette=sns.color_palette(\"Set1\", target.nunique()))\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Splitting the data into train, val and test sets\n\nx, x_val, y, y_val = train_test_split(umap_features, target, random_state=seed, stratify=target, test_size=0.2)\nx_train, x_test, y_train, y_test = train_test_split(x, y, random_state=seed, stratify=y, test_size=0.2)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Defining the classifiers\nclassifiers = {\"LR\": LogisticRegression(random_state=seed), \"RF\": RandomForestClassifier(random_state=seed), \"KNN\": KNeighborsClassifier(n_neighbors=20, n_jobs=-1)}","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Building the models\nmodels = {}\nval_preds = {}\ntest_preds = {}\nfor k, v in classifiers.items():\n    print(f\"{k}\")\n    %time models[k] = v.fit(x_train, y_train)\n    val_preds[k] = models[k].predict(x_val)\n    test_preds[k] = models[k].predict(x_test)\n    print(f\"Validation Accuracy: {np.round(models[k].score(x_val, y_val), 4)} | Test Accuracy: {np.round(models[k].score(x_test, y_test), 4)}\")","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Looks like KNN classifier fits our data much better when compared to others."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Analyzing the confusion matrix\nplt.figure(figsize=(10, 7))\nsns.heatmap(confusion_matrix(y_test, test_preds[\"KNN\"]), annot=True, fmt='d')\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"From the confusion matrix above we can infer that our model is finding it hard to classify classes 0, 6, 7 and 9. This might be due to noise or poor feature selection."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Plotting the decision boundary\nfrom mlxtend.plotting import plot_decision_regions\n\nplt.figure(figsize=(10, 7))\nplot_decision_regions(x_test, y_test.values, clf=models[\"KNN\"])\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Method 2: Convolutional Neural Network (CNN)\n\nFor machines an image is an array of pixels stacked as X dimension x Y dimension x No.of channels. Example: 32x32x1 (1 - grayscale, 3 - RGB). If we are working with a 28 x 28 pixels then we would have 784 columns of information about the image. Consider the same for a 1024 x 1024 size image. As the image quality increases the number of dimensions as well. It would be difficult to always use dimensionaltiy reduction techniques to handle huge dimensions as there is a greater chance of loosing valuable information and also when dealing with the fully connected neural network the number of nodes increases depending on the number of neurons in each layer. And that's where CNN comes into play. Also another reason why we move to CNNs are because they learn on their own and requires less feature engineering when compared to traditional classifiers.\n\n![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"CNN consists of **convolution** and **pooling** layers stacked on top of a fully connected neural network. CNN basically reduces the dimensions by retaining only the key features in the image by performing convolution and pooling.\n\n**Important:** For a detailed explanation of CNN I would engourge you to read <a href=\"https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53\">this</a> blog by Sumit Saha. This clearly explains how CNNs work. After reading the blog don't forget to revisit this kernel for the practical application of the techniques learnt."},{"metadata":{},"cell_type":"markdown","source":"We will be using the Keras API in Tensorflow to create a CNN model. You can also create the same with the help of core TensorFlow, PyTorch and other deep learning libraries as well. Without any further talk let us jump right into the code."},{"metadata":{"trusted":true},"cell_type":"code","source":"# Scaling the pixel values to a range between 0 and 1\nX = features / 255\npayload = test.drop(\"id\", 1) / 255","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Reshaping the data into a 3 dimensional array\nX = X.values.reshape(-1, 28, 28, 1)\npayload = payload.values.reshape(-1, 28, 28, 1)\n\n# Encoding the target variable. This is because we will be using softmax in the output layer and it outputs probabilities for each class\nY = tf.keras.utils.to_categorical(target, num_classes = 10)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Splitting the data into train, val and test sets\n\nx, x_val, y, y_val = train_test_split(X, target, random_state=seed, stratify=target, test_size=0.2)\nx_train, x_test, y_train, y_test = train_test_split(x, y, random_state=seed, stratify=y, test_size=0.2)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Data augmentation\ndata_gen = tf.keras.preprocessing.image.ImageDataGenerator(\n    featurewise_center=False,  # set input mean to 0 over the dataset\n    samplewise_center=False,  # set each sample mean to 0\n    featurewise_std_normalization=False,  # divide inputs by std of the dataset\n    samplewise_std_normalization=False,  # divide each input by its std\n    zca_whitening=False,  # apply ZCA whitening\n    rotation_range=10,  # randomly rotate images in the range (degrees, 0 to 180)\n    zoom_range = 0.1, # Randomly zoom image \n    width_shift_range=0.1,  # randomly shift images horizontally (fraction of total width)\n    height_shift_range=0.1,  # randomly shift images vertically (fraction of total height)\n    horizontal_flip=False,  # randomly flip images\n    vertical_flip=False\n)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model = tf.keras.models.Sequential([\n    tf.keras.layers.Conv2D(32, (3, 3), activation = tf.nn.relu, input_shape = (28, 28, 1)),\n    tf.keras.layers.MaxPool2D(2, 2),\n    tf.keras.layers.Dropout(0.5),\n    tf.keras.layers.Flatten(),\n    tf.keras.layers.Dense(10, activation = tf.nn.softmax)\n])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"optimizer=tf.optimizers.Adam(learning_rate=0.001,beta_1=0.9,beta_2=0.999)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model.compile(loss='sparse_categorical_crossentropy', optimizer=optimizer, metrics=['acc'])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"history = model.fit_generator(data_gen.flow(x_train, y_train, batch_size=64), epochs=5, validation_data=(x_test, y_test), verbose=1, steps_per_epoch=x_train.shape[0]//64)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission[\"label\"] = np.argmax(model.predict(payload), 1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission.to_csv(\"submission.csv\", index=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission.head(3)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.imshow(test.iloc[1, 1:].values.reshape(28, 28, 1)[:, :, 0])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":1}