Neural Network Programming with TensorFlow

Complete code listing of the sparse autoencoder

For reference, we have given the code listing for SparseAutoEncoder here, with the kl_divergence and cost discussed earlier:

class SparseAutoencoder(object):    def __init__(self, num_input, num_hidden,                  transfer_function=tf.nn.softplus,                  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        network_weights = self._initialize_weights()        self.weights = network_weights        self.sparsity_level = np.repeat([0.05],            self.num_hidden).astype(np.float32)        self.sparse_reg = 0.0        # model        self.x = tf.placeholder(tf.float32, [None, self.num_input])        self.hidden_layer ...