Neural Network Programming with TensorFlow

Additive Gaussian autoencoder full code listing

The following is the code of the Additive Gaussian autoencoder:

import numpy as npimport tensorflow as tfdef xavier_init(fan_in, fan_out, constant = 1):    low = -constant * np.sqrt(6.0 / (fan_in + fan_out))    high = constant * np.sqrt(6.0 / (fan_in + fan_out))    return tf.random_uniform((fan_in, fan_out), minval = low, maxval = high, dtype = tf.float32)class AdditiveGaussianNoiseAutoEncoder(object):    def __init__(self, num_input, num_hidden,                  transfer_function=tf.nn.sigmoid,                  optimizer=tf.train.AdamOptimizer(),                 scale=0.1):        self.num_input = num_input        self.num_hidden = num_hidden        self.transfer = transfer_function        self.scale = tf.placeholder(tf.float32)        self.training_scale = scale        n_weights = self._initialize_weights() ...