(x)
| 56 | |
| 57 | # Building the decoder |
| 58 | def decoder(x): |
| 59 | # Encoder Hidden layer with sigmoid activation #1 |
| 60 | layer_1 = tf.nn.sigmoid(tf.add(tf.matmul(x, weights['decoder_h1']), |
| 61 | biases['decoder_b1'])) |
| 62 | # Decoder Hidden layer with sigmoid activation #2 |
| 63 | layer_2 = tf.nn.sigmoid(tf.add(tf.matmul(layer_1, weights['decoder_h2']), |
| 64 | biases['decoder_b2'])) |
| 65 | return layer_2 |
| 66 | |
| 67 | |
| 68 | """ |