Fixed typo

examples/3 - Neural Networks/autoencoder.py

@@ -49,17 +49,17 @@ biases = {
 
 # Building the encoder
 def encoder(x):
-    # Encoder Hidden layer with relu activation #1
+    # 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 relu activation #2
+    # Decoder 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
 
 # Building the decoder
 def decoder(x):
-    # Encoder Hidden layer with relu activation #1
+    # Encoder 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 relu activation #2
+    # Decoder Hidden layer with sigmoid activation #2
     layer_2 = tf.nn.sigmoid(tf.add(tf.matmul(layer_1, weights['decoder_h2']), biases['decoder_b2']))
     return layer_2