{"cells":[{"metadata":{},"cell_type":"markdown","source":"# LeNet Architecture and Document Recognition\nLeNet is a big breakthrough in the world of image recognition. It is one of the oldest convolution neural networks that was introduced by Yann LeCunn back in 1995 in his research paper. During those days he came up with this LeNet Model to find the handwritten digits representing the Zip codes of the US postal service."},{"metadata":{},"cell_type":"markdown","source":"![image.png](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"# **Components of LeNet Structure:**\n\n1. Input image of a defined size\n2. Convolutional layer used with a kernel or feature of particular size and padding\n3. Filters used in Convolutional layers as per requirement\n4. Average Max pooling is used with specific size, strides, and padding\n\n# **Convolution layer 1**\n\nIt’s constructed using multiple convolutions and average pooling layers. We take an input grey-scale image of size 32*32 consisting of digits as images. We introduce a kernel of size 5*5 with padding as 0 and convolve it with the input image. We use 6 filters or kernels to generate the convolutional layer of 28* 28 * 6. The image stride is taken as 1.\n\n\nInput image = 32*32\n\nKernel size = 5*5\n\nNo of kernels = 6\n\nPadding = 0\n\nStride = 1\n\nSo size of conv1 = [n+2p-f+1] / s = [32+0–5+1/1] = 28\nHence the conv1 = 28*28*6\n\n![image.png](attachment:image.png)\n\n# Average Pooling 1\nNow we do average pooling with 2*2 kernel size and strides=2. It results in decreasing image pixels into 14 * 14.\n\nInput image = 28*28\n\nKernel size = 2*2\n\nStride = 2\n\nSo size of conv1 = [n+2p-f+1] / s\n\n= [28+0–2+1/2]\n\n= floor value of (13.5)\n\n= 14\n\nHence the avg-pool 1 size = 14 * 14 * 6\n\n![image.png](attachment:image.png)\n\n# **Convolutional Layer 2**\n\nNow we generate a convolutional layer with 5*5 kernel size, taking kernels as 16 and strides=1. It results in a reduction of image pixels into 10 * 10 * 16.\n\nInput image = 14*14\n\nKernel size = 5*5\n\nNo of kernels = 16\n\nPadding = 0\n\nStride = 1\n\nSo size of conv2 = [n+2p-f+1] / s = [14+0–5+1/1] = 10\n\nHence the conv2 = 10 * 10 * 16\n\n![image.png](attachment:image.png)\n\n# **Average Pooling-2**\n\nNow we do average pooling with 2 *  2 kernel size and strides=2. It results in decreasing image pixels into 5*5.\n\nInput image = 10 * 10\n\nKernel size = 2 * 2\n\nStride = 2\n\nSo size of conv1 = [n+2p-f+1] / s\n\n= [10+0–2+1/2]\n\n= floor value of (4.5) = 5\n\nHence the avg-pool-2 size = 5 * 5 * 16\n\n![image.png](attachment:image.png)\n\n# Inputs to connected layer-1\nNow after the 2nd average pooling we unroll the total pixels into inputs neurons of the connected layer-1. We provide the 400 neurons as inputs to connected-layer1.\n\n![image.png](attachment:image.png)\n\n\n# Generation of 2nd, 3rd connected layers, and a softmax output.\nWe receive 120 inputs to connected layer-2. These inputs are processed and generate 84 inputs to connected layer 3. The 84 inputs combine together into a softmax which generates the output classifier consisting of 10 labels. The softmax generates 10 outputs as we have to identify the 10 digits from 0 to 9 during document recognition.\n\n![image.png](attachment:image.png)\n\nMnist is a dataset of digit images that consists of around 70000 images out of which 60k are reserved for training the model and 10k are reserved for testing the model. We create a LeNet model and apply it to the Mnist dataset in order to classify the digits based on their identification.\nSo initially we pull the Mnist dataset which is available in the Keras model. Then we split the dataset into training and test model and save the details of the output labels or classes in the NumPy arrays.\n\n","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"# Importing the Libraries"},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport tensorflow as tf\nimport numpy as np\nimport pandas as pd\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Separation of Training and Test Data"},{"metadata":{"trusted":true},"cell_type":"code","source":"TrainSet = pd.read_csv('/kaggle/input/digit-recognizer/train.csv')\nX_train = TrainSet.iloc[:,1:].values\nY_train = TrainSet.iloc[:,0].values\nTestSet = pd.read_csv('/kaggle/input/digit-recognizer/test.csv')\nX_test = TestSet.iloc[:,:].values","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Feature scaling of all the pixel columns"},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train = X_train.astype('float32')\nX_test  = X_test.astype('float32')\nX_train = X_train / 255.0\nX_test = X_test / 255.0","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_test.shape","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Reshaping the data"},{"metadata":{"trusted":true},"cell_type":"code","source":"rows,columns = 28,28","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train = X_train.reshape(X_train.shape[0],rows,columns,1)\nX_test  = X_test.reshape(X_test.shape[0],rows,columns,1)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Splitting into test and train data"},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nX_train1,X_check1,Y_train1,Y_check1 = train_test_split(X_train,Y_train,test_size=0.2,random_state=1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_train1","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"print(X_train1.shape)\nprint(X_check1.shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"input_shape = [rows,columns,1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"Y_train1  = tf.keras.utils.to_categorical(Y_train1,10)\nY_check1  = tf.keras.utils.to_categorical(Y_check1,10)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Creation of LeNet function"},{"metadata":{"trusted":true},"cell_type":"code","source":"def construct_lenet(input_shape):\n    \n    model = tf.keras.Sequential()\n    model.add(tf.keras.layers.Conv2D(\n                                    filters= 6,\n                                    kernel_size = (5,5),\n                                    strides=(1,1),\n                                    activation='tanh',\n                                    input_shape=input_shape))\n    \n    model.add(tf.keras.layers.AveragePooling2D(pool_size=(2,2),\n                                            strides=(2,2)))\n    \n    model.add(tf.keras.layers.Conv2D(\n                                    filters=16,\n                                    kernel_size = (5,5),\n                                    strides=(1,1),\n                                    activation='tanh'))\n    \n    model.add(tf.keras.layers.AveragePooling2D(pool_size=(2,2),\n                                            strides=(2,2)))\n    \n    model.add(tf.keras.layers.Flatten())\n    \n    model.add(tf.keras.layers.Dense(units=120,activation='tanh'))\n    \n    model.add(tf.keras.layers.Dense(units=84,activation='tanh'))\n    \n    model.add(tf.keras.layers.Dense(units=10,activation='softmax'))\n    \n    model.compile(loss='categorical_crossentropy',optimizer=tf.keras.optimizers.SGD(lr=0.1,momentum=0.0,decay=0.0),metrics=['accuracy'])\n    \n    return model","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Training on the 80% of training data"},{"metadata":{"trusted":true},"cell_type":"code","source":"lenet = construct_lenet(input_shape)\n\nepochs=50\n\nhistory = lenet.fit(X_train1,Y_train1,\n                    epochs=epochs,\n                   batch_size=128)\n\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Evaluation on remaining Training Data"},{"metadata":{"trusted":true},"cell_type":"code","source":"loss , acc = lenet.evaluate(X_check1,Y_check1)\nprint('Accuracy :',acc)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Testing on Unknown data and storing the result in file"},{"metadata":{"trusted":true},"cell_type":"code","source":"\nresults = lenet.predict(X_test)\nresults = np.argmax(results,axis = 1)\nprint(results)\nresults = pd.Series(results,name=\"Label\")\nprint(results)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission = pd.concat([pd.Series(range(1,28001),name = \"ImageId\"),results],axis = 1)\n\nsubmission.to_csv(\"Lenet_results.csv\",index=False)","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":4}