Demo entry 6783132


Submitted by anonymous on Jan 30, 2019 at 16:30
Language: Python. Code size: 393 Bytes.

conv = tf.layers.conv1d(inputs=input_layer, filters=32,
                        kernel_size=3, padding="same",

pool = tf.reduce_max(input_tensor=conv, axis=1)
hidden = tf.layers.dense(inputs=pool, units=250, activation=tf.nn.relu)
logits = tf.layers.dense(inputs=hidden , units=2, activation=None)

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