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@@ -88,7 +88,7 @@
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" # Encoder Hidden layer with sigmoid activation #1\n",
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" layer_1 = tf.nn.sigmoid(tf.add(tf.matmul(x, weights['encoder_h1']),\n",
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" biases['encoder_b1']))\n",
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- " # Decoder Hidden layer with sigmoid activation #2\n",
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+ " # Encoder Hidden layer with sigmoid activation #2\n",
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" layer_2 = tf.nn.sigmoid(tf.add(tf.matmul(layer_1, weights['encoder_h2']),\n",
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" biases['encoder_b2']))\n",
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" return layer_2\n",
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@@ -96,7 +96,7 @@
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"\n",
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"# Building the decoder\n",
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"def decoder(x):\n",
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- " # Encoder Hidden layer with sigmoid activation #1\n",
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+ " # Decoder Hidden layer with sigmoid activation #1\n",
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" layer_1 = tf.nn.sigmoid(tf.add(tf.matmul(x, weights['decoder_h1']),\n",
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" biases['decoder_b1']))\n",
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" # Decoder Hidden layer with sigmoid activation #2\n",
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