Deep Learning with TensorFlow

Source code for a handwritten classifier

For a better understanding, we reported the entire source code for the CNN previously discussed:

import tensorflow as tf import numpy as np from tensorflow.examples.tutorials.mnist import input_data  batch_size = 128 test_size = 256 img_size = 28 num_classes = 10  def init_weights(shape):     return tf.Variable(tf.random_normal(shape, stddev=0.01))  def model(X, w, w2, w3, w4, w_o, p_keep_conv, p_keep_hidden):     conv1 = tf.nn.conv2d(X, w,                          strides=[1, 1, 1, 1],                          padding='SAME')      conv1_a = tf.nn.relu(conv1)     conv1 = tf.nn.max_pool(conv1_a, ksize=[1, 2, 2, 1]                         ,strides=[1, 2, 2, 1],                         padding='SAME')     conv1 = tf.nn.dropout(conv1, p_keep_conv)      conv2 = tf.nn.conv2d(conv1, w2,                          strides=[1, 1, 1, 1],  padding='SAME') ...