Created
April 28, 2019 12:02
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| crossentropy = tf.keras.losses.SparseCategoricalCrossentropy( | |
| from_logits=True) | |
| def loss_func(targets, logits): | |
| mask = tf.math.logical_not(tf.math.equal(targets, 0)) | |
| mask = tf.cast(mask, dtype=tf.int64) | |
| loss = crossentropy(targets, logits, sample_weight=mask) | |
| return loss | |
| optimizer = tf.keras.optimizers.Adam() |
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