Created
March 16, 2019 07:13
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Optimization function for a vanilla autoencoder.
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| def train(loss, model, opt, original): | |
| with tf.GradientTape() as tape: | |
| gradients = tape.gradient(loss(model, original), model.trainable_variables) | |
| gradient_variables = zip(gradients, model.trainable_variables) | |
| opt.apply_gradients(gradient_variables) |
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