Neural Network Programming with TensorFlow

AutoEncoder class

Th following code shows AutoEncoder class. This class with be instantiated for samples in next few sections to create autoencoders:

import tensorflow as tfclass AutoEncoder:    def __init__(self, num_input, num_hidden,       transfer_function=tf.nn.softplus,       optimizer = tf.train.AdamOptimizer()):        self.num_input = num_input        self.num_hidden = num_hidden        self.transfer = transfer_function        network_weights = self._initialize_weights()        self.weights = network_weights        # model for reconstruction of the image        self.x_var = tf.placeholder(tf.float32, [None, self.num_input])        self.hidden_layer = self.transfer(tf.add(tf.matmul(self.x_var,           self.weights['w1']), self.weights['b1']))        self.reconstruction = tf.add(tf.matmul(self.hidden_layer,  self.weights[ ...