(x, layer_sizes, hidden_activation=tf.nn.relu, output_activation=None)
| 23 | |
| 24 | # simple feedforward neural net |
| 25 | def ANN(x, layer_sizes, hidden_activation=tf.nn.relu, output_activation=None): |
| 26 | for h in layer_sizes[:-1]: |
| 27 | x = tf.layers.dense(x, units=h, activation=hidden_activation) |
| 28 | return tf.layers.dense(x, units=layer_sizes[-1], activation=output_activation) |
| 29 | |
| 30 | |
| 31 | # get all variables within a scope |