Fixed Typo (#158)

examples/3_NeuralNetworks/autoencoder.py

@@ -53,7 +53,7 @@ def encoder(x):
     # Encoder Hidden layer with sigmoid activation #1
     layer_1 = tf.nn.sigmoid(tf.add(tf.matmul(x, weights['encoder_h1']),
                                    biases['encoder_b1']))
-    # Decoder Hidden layer with sigmoid activation #2
+    # Encoder Hidden layer with sigmoid activation #2
     layer_2 = tf.nn.sigmoid(tf.add(tf.matmul(layer_1, weights['encoder_h2']),
                                    biases['encoder_b2']))
     return layer_2
@@ -61,7 +61,7 @@ def encoder(x):
 
 # Building the decoder
 def decoder(x):
-    # Encoder Hidden layer with sigmoid activation #1
+    # Decoder Hidden layer with sigmoid activation #1
     layer_1 = tf.nn.sigmoid(tf.add(tf.matmul(x, weights['decoder_h1']),
                                    biases['decoder_b1']))
     # Decoder Hidden layer with sigmoid activation #2