{"cells":[{"metadata":{},"cell_type":"markdown","source":"# 1. Introdução\n\n\nInspired by the way the human brain works as described by neuroscience in the 1960s, Artificial Intelligence scientists developed Artificial Neural Networks. These networks are based on artificial neurons, which can be described by input parameters, an activation function and output weights. Since the creation of such technology, researchers have become increasingly interested in these networks, particularly for their ability to perform distributed computing and to be able to learn rather complex functions. Currently, Artificial Neural Networks are one of the most popular and effective ways of implementing machine learning.\n\nConvolutional Neural Networks, in their turn, are a special type of Neural Networks specialized in processing data that have a matrix topology, for example, time series, audio data and, especially, images. The name of this type of network already indicates that it implements a special type of mathematical operation: convolution. Among the reasons for using these networks, instead of the conventional Neural Networks, we can highlight: the sparse interactions and the sharing of parameters. These two characteristics allow Convolutional Neural Networks to use less memory for training their learning function, in addition to using less time complexity.\n\nWithin this context, this work proposes to use the Convolutional Neural Networks to perform the image prediction of the [CIFAR-10](https://www.kaggle.com/c/cifar-10) data set. It is a dataset with 50,000 training images, divided into 10 classes. Using techniques such as Data Augmentation, MaxPooling, Dropouts, Batch Normalization and L2 Regularization, it was possible to avoid common problems such as Overfitting and achieve a prediction accuracy of up to 88.85%.\n\n\n","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"# 2. Importing Data from CIFAR-10\n\n","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"First, we import the necessary libraries. The CIFAR-10 dataset can be found on the keras.datasets.","execution_count":null},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true,"_kg_hide-output":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)v\nimport matplotlib.pyplot as plt # data visualization\nimport seaborn as sns\n\nfrom keras.datasets import cifar10 # CIFAR-10 dataset\nfrom keras.utils import np_utils, plot_model # np_utils is used to do one-hot encoding\nfrom keras.optimizers import Adam # adam optmizer\nfrom keras.layers import Dense, Conv2D, MaxPooling2D, Dropout, Flatten, Activation, BatchNormalization # layers used in the neural network\nfrom keras.regularizers import l2 # l2 regularizer\nfrom keras.models import Sequential, load_model # the model used has the Sequential structure\nfrom keras.callbacks import EarlyStopping, ModelCheckpoint\nfrom sklearn.metrics import confusion_matrix, classification_report\n\n\nfrom keras import backend as K\nfrom keras.preprocessing.image import ImageDataGenerator\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Next, we get the train and test sets using the load_data function from the cifar10 and visualize the size of the datasets, as well as some of its images.","execution_count":null},{"metadata":{"trusted":true,"_kg_hide-output":true},"cell_type":"code","source":"(X_train, y_train), (X_test, y_test) = cifar10.load_data()\nlabels = pd.read_csv('/kaggle/input/cifar-10/trainLabels.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Datasets shapes\nprint('Train dataset shape: {}'.format(X_train.shape))\nprint('Test dataset shape: {}'.format(X_test.shape))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print('Amount of images in each class of the training dataset:')\nprint(labels.label.value_counts())","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"By looking at the amount of images in each class of the training dataset, we can determine a baseline accuracy, given by a model that always guesses a certain class. The value of this accuracy is given by 5000 / (10 * 5000) = 10%.\n\nSome of the images of each class is shown below.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# Getting a dictionary with 3 images indexes for each label\nlabels_dict = {}\nfor label in labels.label.unique():\n    labels_dict[label] = list(labels[labels['label'] == label].index[0:3])\n    \n# Showing 3 images of every class\nfor key in labels_dict:\n    for i in range(3):\n        plt.subplot(330+ 1 + i)\n        plt.imshow(X_train[labels_dict[key][i]])\n    print('Class {}'.format(key))\n    plt.show()\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 3. Tools Used","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"**3.1 Data Augmentation**\n\nData Augmentation is a commom technique used in Machine Learning projects to increase the amount of data applied in the training using the available data. In generating ew copies of training data, it's possibler to increase the generality of the model, thus reducing overfitting. When used in images, the most commom methods of data augmentation are rotation, zooming, height and width shifting, vertical and horizontal flipping, stretching, among others.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"![dataAugm.png](attachment:dataAugm.png)","attachments":{"dataAugm.png":{"image/png":"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"}},"execution_count":null},{"metadata":{},"cell_type":"markdown","source":"We can use the class ImageDataGenerator from Keras to easily generate new training images from the CIFAR-10 dataset.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# Initializing a ImageDataGenerator Objetc\nimage_data_generator = ImageDataGenerator(\n                rotation_range = 15, # degree angle for random rotations\n                horizontal_flip = True, # randomly flips the image horizontally\n                width_shift_range = 0.1, # fraction of total width shift\n                height_shift_range = 0.1 # fraction of total height shift\n                )\n\n# Fitting the Image Data Generator for the training images\n\nimage_data_generator.fit(X_train)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Next, we can see a few of the images that were generated.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"training_generator = image_data_generator.flow(X_train, y_train, batch_size = 6)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.figure(figsize=(10,5))\nfor i in range(6):\n    plt.subplot(2,3,i+1)\n    for x,y in training_generator:\n        plt.imshow(x[i].astype(np.uint8))\n        plt.axis('off')\n        break\nplt.tight_layout()\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"We also would like to apply the z-score normalization to the training and testing datasets. The reason for this is because in the process of training the network, a lot of parameters (weights) are shared. The weights learned in the process are multiplied by the input data in order to cause activations. Ideally, each input in the neural network must have similar range of pixels. If the range of each input is very different, it becomes hard to train the model. Originally, the range of values that the image pixels can assume is between 0 and 225, but by applying the z-score normalization this range drops to between -XXX and YYY. \n\nThe z-score normalization is done accordingly to the following equation:\n\nz = (x - μ)/σ, \n\nwhere:\n* μ: Mean\n* σ: Standart Deviation","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# Transform the data type to float 32 to performe the divison operation \nX_train = X_train.astype('float32')\nX_test = X_test.astype('float32')\n\n# Functions from numpy to calculate mean and std\nmean = np.mean(X_train)\nstd = np.std(X_train)\n\n# Applying the z-score\n\nX_train = (X_train-mean)/(std+1e-7)\nX_test = (X_test-mean)/(std+1e-7)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**3.2 Pooling**\n\nThe pooling function replaces the output of the net at a certain location with a summary statistic of the nearby outputs. For example, max pooling operation reports the maximum output within a rectangular neighborhood.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"![poolingExample.png](attachment:poolingExample.png)","attachments":{"poolingExample.png":{"image/png":"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"}},"execution_count":null},{"metadata":{},"cell_type":"markdown","source":"Max pooling is a very commom operation in Machine Learning projects because it helps to make the representation approximately invariant to small changes of the input. This means that if we change the input by a small amount, the values of most of the pooled outputs do not change. Invariance to local changes can be a very useful property if we are more interested about wheter some feature is present then about where it is.\n\nBy applying pooling between separately parametrized convolutions, the model can learn to witch transformations it can become invariant to. For example, the model can become invariant to rotations apllied to the images. Max pooling helps prevent overfitting by providing an abstracted form of representation, as well as reducing the computational cost of the model.","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"****3.3 Dropouts****\n\nDropout is a very simple, popular and useful technique to combat the overfitting of models. Dropout works by ignoring randomly chosen nodes or convolutions for briefs parts of training. Specifically it makes each convolution or node find information that is useful for prediction in its own right, rather than allowing one node to dominate the prediction. This has the effect of making the layer look-like and be treated-like a layer with a different number of nodes and connectivity to the prior layer. In effect, each update to a layer during training is performed with a different “view” of the configured layer.\n\nDropout simulates a sparse activation from a given layer, which interestingly, in turn, encourages the network to actually learn a sparse representation as a side-effect.\n\nThe Dropout Rate is a hyperparameter that must be adjusted. A good rule of thumb is to divide the number of nodes in the layer before dropout by the proposed dropout rate and use that as the number of nodes in the new network. For example, a network with 64 nodes and a dropout rate of 0.5 will require 128 nodes.\n","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"![dropoutExample.png](attachment:dropoutExample.png)","attachments":{"dropoutExample.png":{"image/png":"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"}},"execution_count":null},{"metadata":{},"cell_type":"markdown","source":"**3.4 Regularization**\n\nRegularization is a technique used to penalize complex models. Instead of simply aiming to minimize the loss function, we try to minimize the loss + complexity, witch is called structural risk minimization. The two most commom regularization functions are L1 and L2 regularization.\n\nThe L1 regularization adds the absolute value of magnitude of each coefficient in the neural network as penalty term to the loss function. The L2 function, instead, adds the squared magnitude of the coefficients as the penalty term.\n\nThe key difference between these techniques is that Lasso shrinks the less important feature’s coefficient to zero thus, removing some feature altogether\n\n\n","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"**3.5 Batch Normalization**\n\nJust as the data is normalized for the input layer, so that the range of values of the features is within a normal pattern, it is also possible to perform such normalization for the deeper layers. This process is called batch normalization. Batch normalization reduces the amount by what the hidden unit values shift around (covariance shift) and allows each layer of a network to learn by itself a little bit more independently of other layers.\n\nTo increase the stability of a neural network, batch normalization normalizes the output of a previous activation layer by subtracting the batch mean and dividing by the batch standard deviation. However, after this shift/scale of activation outputs by some randomly initialized parameters, the weights in the next layer are no longer optimal. SGD ( Stochastic gradient descent) undoes this normalization if it’s a way for it to minimize the loss function.\nConsequently, batch normalization adds two trainable parameters to each layer, so the normalized output is multiplied by a “standard deviation” parameter (gamma) and add a “mean” parameter (beta). In other words, batch normalization lets SGD do the denormalization by changing only these two weights for each activation, instead of losing the stability of the network by changing all the weights.\n\nReference: https://towardsdatascience.com/batch-normalization-in-neural-networks-1ac91516821c","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"# 4. Creating the Model","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"Before defining the model itself, we need to define the number of the classes, define the input shape of the images and apply the one-hot encoding to the labels.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# every image has the same input_shape\ninput_shape = (32,32,3)\n\n# number of classes in the CIFAR-10\nn_classes = 10\n\n# applying the one-hot encoding\ny_train = np_utils.to_categorical(y_train,n_classes)\ny_test = np_utils.to_categorical(y_test,n_classes)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The neural network has the Sequential type. This means that every layer is connected to the next in a unilateral sequence. The model architecture was developed through an iterative process. Like the hyperparameters, the chosen architecture strongly impacts the performance of the model. The neural network has 6 convolutional layers, a dense layer and a final classification layer. Max pooling, dropout and batch normalization operations are performed between some of these layers. The model architecture is illustrated below.\n\n* First, we have a convolutional layer with 32 neurons and the activation function ReLu (Rectified Linear Unit). This is a typical number of neurons, just as the activation function is also widely used in neural networks. The size of the kernel filter is 3x3 and was chosen according to the size of the input image. Then, the output of this layer is normalized by a Batch Normalization layer\n\n* The next layer repeats the pattern of the first, with the same number of neurons, the same size of the kernel filter and a layer of batch normalization in the output. Then, a Max Pooling operation is applied, which reduces the data dimensions to 16x16. A 10% dropout is then applied to avoid overfitting. This value was determined by an iterative process.\n\n* The next layers repeat the structure of the first two, changing only the number of neurons used. The number of neurons doubles every two layers. Meanwhile, the size of the data halves with each layer of Max Pooling\n\n* Finally, a Flatten layer is added, followed by a dense layer of 512 neurons. Batch normalization is performed again and a 50% dropout is added. The classification layer has the softmax activation function\n\n","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"def model():\n    # L2 λ = 0.0005\n    regularizer = l2(0.0005)\n    \n    model = Sequential()\n    \n    model.add(Conv2D(32, (3,3), activation = 'relu', kernel_regularizer = regularizer, input_shape = input_shape, padding = 'same'))\n    model.add(BatchNormalization(axis = -1))\n    model.add(Conv2D(32,(3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    model.add(BatchNormalization(axis = -1))\n    model.add(MaxPooling2D(pool_size = (2,2)))\n    model.add(Dropout(0.1))\n    \n    model.add(Conv2D(64, (3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    model.add(BatchNormalization(axis = -1))\n    model.add(Conv2D(64,(3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    model.add(BatchNormalization(axis = -1))\n    model.add(MaxPooling2D(pool_size = (2,2)))\n    model.add(Dropout(0.1))\n    \n    model.add(Conv2D(128, (3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    model.add(BatchNormalization(axis = -1))\n    model.add(Conv2D(128,(3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    model.add(BatchNormalization(axis = -1))\n    model.add(MaxPooling2D(pool_size = (2,2)))\n    model.add(Dropout(0.1))\n    \n\n    \n    model.add(Flatten())\n    model.add(Dense(512, activation = 'relu', kernel_regularizer = regularizer))\n    model.add(BatchNormalization())\n    model.add(Dropout(0.5))\n    model.add(Dense(n_classes, activation = 'softmax'))\n    \n    return model\n    \nmodel = model()\n# Using keras Adam optimizer\nAdamOpt = Adam(lr = 0.0003)\n\nmodel.compile(optimizer = AdamOpt, loss = 'categorical_crossentropy', metrics = ['accuracy'])\nmodel.summary()\n    \n    ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"A comparison model was also developed. It has the same architecture as the first, however, no batch normalization or dropout layers are added. The purpose of this is to verify how important these tools are to avoid overfitting, in addition to improving the overall performance of the project.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"def comparison_model():\n    # No Regularizer\n    regularizer = None\n    \n    model = Sequential()\n    \n    model.add(Conv2D(32, (3,3), activation = 'relu', kernel_regularizer = regularizer, input_shape = input_shape, padding = 'same'))\n    # No batch normalization\n    #model.add(BatchNormalization(axis = -1))\n    model.add(Conv2D(32,(3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    #model.add(BatchNormalization(axis = -1))\n    model.add(MaxPooling2D(pool_size = (2,2)))\n    \n    # No dropout\n    #model.add(Dropout(0.1))\n    \n    model.add(Conv2D(64, (3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    #model.add(BatchNormalization(axis = -1))\n    model.add(Conv2D(64,(3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    #model.add(BatchNormalization(axis = -1))\n    model.add(MaxPooling2D(pool_size = (2,2)))\n    #model.add(Dropout(0.1))\n    \n    model.add(Conv2D(128, (3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    #model.add(BatchNormalization(axis = -1))\n    model.add(Conv2D(128,(3,3), activation = 'relu', kernel_regularizer = regularizer, padding = 'same'))\n    #model.add(BatchNormalization(axis = -1))\n    model.add(MaxPooling2D(pool_size = (2,2)))\n    #model.add(Dropout(0.1))\n    \n\n    \n    model.add(Flatten())\n    model.add(Dense(512, activation = 'relu', kernel_regularizer = regularizer))\n    #model.add(BatchNormalization())\n    #model.add(Dropout(0.5))\n    model.add(Dense(n_classes, activation = 'softmax'))\n    \n    return model\n    \ncomparison_model = comparison_model()\n# Using keras Adam optimizer\nAdamOpt = Adam(lr = 0.001)\n\ncomparison_model.compile(optimizer = AdamOpt, loss = 'categorical_crossentropy', metrics = ['accuracy'])\n    \n    ","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# 5. Training the Neural Network","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"For training the model, we used two callback functions. The first to perform the early stop (avoiding overfitting) if the loss validation function does not improve after 15 epochs. We also use the keras ModelCheckpoint to save the neural network weights for the best model found in the training process. The number of epochs used was 200. The batch size is one of the hyperparameters to be adjusted. A size of 128 seems adequate for the size of the data set used.\n\nFor training the comparison model, the augmented data set will not be used, according to the procedure described in section 3.1.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# CallBack functions\nes = EarlyStopping(monitor='val_loss', mode='min', verbose=1, patience=25)\nmc = ModelCheckpoint('best_model.h5', monitor='val_accuracy', mode='max', verbose=1, save_best_only=True)\n\n# Training history\nhistory = model.fit(image_data_generator.flow(X_train,y_train, batch_size = 200), steps_per_epoch = len(X_train)/200, epochs = 200, validation_data = (X_test,y_test), callbacks=[es, mc])\n\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# load the saved model\nsaved_model = load_model('best_model.h5')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# CallBack functions\nes = EarlyStopping(monitor='val_loss', mode='min', verbose=1, patience=117)\nmc = ModelCheckpoint('best_model.h5', monitor='val_accuracy', mode='max', verbose=1, save_best_only=True)\n\n# Training history\n# 117 = number of epochs of the first model\ncomparison_history = comparison_model.fit(X_train, y_train, batch_size = 200, verbose = 1, epochs = 117, validation_data = (X_test,y_test), callbacks=[es, mc])\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# **6. Results**\n\n**6.1 Accuracy over epochs**\n\nFrom the history obtained in the training process, we can plot graphs of the loss function and the accuracy of the training set and the test set over the epochs. We can see that the comparison model has a performance far inferior to the proposed model. In addition, we can see a big reduction in overfitting when implementing the techniques described in section 3.\n","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"def plotmodelhistory(history): \n    fig, axs = plt.subplots(1,2,figsize=(15,7)) \n    # summarize history for accuracy\n    axs[0].plot(history.history['accuracy']) \n    axs[0].plot(history.history['val_accuracy']) \n    axs[0].set_title('Model Accuracy')\n    axs[0].set_ylabel('Accuracy') \n    axs[0].set_xlabel('Epoch')\n    axs[0].legend(['train', 'validate'], loc='upper left')\n    # summarize history for loss\n    axs[1].plot(history.history['loss']) \n    axs[1].plot(history.history['val_loss']) \n    axs[1].set_title('Model Loss')\n    axs[1].set_ylabel('Loss') \n    axs[1].set_xlabel('Epoch')\n    axs[1].legend(['train', 'validate'], loc='upper left')\n    plt.show()\n\n# list all data in history\n\nplotmodelhistory(history)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plotmodelhistory(comparison_history)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"The best accuracy for the models developed for the training and validation sets is shown below:","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"max_val_acc = max(history.history['val_accuracy'])\nmax_train_acc = max(history.history['accuracy'])\n\nmin_val_loss = min(history.history['val_loss'])\nmin_train_loss = min(history.history['loss'])\n\nprint('Validation set: \\nAccuracy: {}\\nLoss: {}'.format(max_val_acc,min_val_loss))\nprint()\nprint('Train set: \\nAccuracy: {}\\nLoss: {}'.format(max_train_acc,min_train_loss))\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**6.2 Confusion Matrix**\n\nThe confusion matrix allows us to observe the predictions that were made correctly, as well as false positives and false negatives. The confusion matrix for the developed model is shown below.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"# Get the predictions probabilities\npredictions = model.predict(X_test)\n\n# Get the true predictions\ny_predictions = np.argmax(predictions, axis=1)\n\n# Remove the one-hot encoding from the test label\ny_true = np.argmax(y_test, axis=1)\n\n\n# Getting the confusion matrix\ncm = confusion_matrix(y_true, y_predictions)\n\n# Transform to DataFrame and change the names of indexes and columns\ncm = pd.DataFrame(cm)\n\ncm.rename(columns={0:'Airplane',\n                  1: 'Automobile',\n                  2: 'Bird',\n                  3: 'Cat',\n                  4: 'Deer',\n                  5: 'Dog',\n                  6: 'Frog',\n                  7: 'Horse',\n                  8: 'Ship',\n                  9: 'Truck'\n                        }, \n                 inplace=True)\ncm.rename(index={0:'Airplane',\n                  1: 'Automobile',\n                  2: 'Bird',\n                  3: 'Cat',\n                  4: 'Deer',\n                  5: 'Dog',\n                  6: 'Frog',\n                  7: 'Horse',\n                  8: 'Ship',\n                  9: 'Truck'\n                        }, \n                 inplace=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# Set the width and height of the figure\nplt.figure(figsize=(14,7))\n\n# Add title\nplt.title(\"Confusion matrix\")\n\n# Heatmap showing \nsns.heatmap(data=cm, annot=True, fmt=\"d\", linewidths=.5, cmap=\"YlGnBu\")\n\n# Add label for horizontal axis\nplt.xlabel(\"Predicted Label\")\nplt.xlabel(\"True Label Label\")\n\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**6.4 Classification Report**","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"The classification report allows us to observe the other evaluation metrics for each of the classes: precision, recal F1-score and support.","execution_count":null},{"metadata":{"trusted":true},"cell_type":"code","source":"print(classification_report(y_true, y_predictions))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# **7. Conclusions**","execution_count":null},{"metadata":{},"cell_type":"markdown","source":"* After performing the modeling with the Convolutional Neural Networks and the prediction of the set of tests, an accuracy of 88.85% was obtained. Some reflections about the work, as well as possible improvements are indicated below.\n\n* The optimization of hyper parameters is a big step towards the general optimization of the model. Algorithms that perform such optimization could be applied to improve the overall accuracy of the model, such as a state space search.\n\n\n* We can see that by applying the techniques proposed in section 3, the overfitting has drastically reduced when compared to the comparison model. Although the comparison model has obtained a higher accuracy in the training set, such accuracy is not a valid metric for the evaluation of the model.\n\n* Some classes of similar animals, such as cats and dogs or horses and deers have obtained the highest amount of wrong predictions. This could be fixed with special data augmentation preprocessing for each of these classes.\n","execution_count":null}],"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":4}