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Migrating Autoencoder to TF 2.0 #6795

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Migrating Autoencoder to TF 2.0 #6795

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Vishal-V
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  • Migrated the autoencoder_runner.py and Autoencoder.py to Tensorflow 2.0
  • The runner uses tf.data.Dataset pipeline to feed the batches and tf.keras.datasets to load the initial data and all necessary migrations in runner have been tested
  • The backpropagation is handled by tf.GradientTape and apply_gradients
  • Wrote the Encoder and Decoder as subclasses of tf.keras.layers.Layer and the Autoencoder as a subclass of tf.keras.Model
  • I working on and will upgrade the DenoisingAutoencoder and VariationalAutoencoder.

@Vishal-V Vishal-V requested a review from a team as a code owner May 16, 2019 14:10
@jaeyounkim
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@snurkabill Can you review this pull request?

@jaeyounkim jaeyounkim self-assigned this Apr 25, 2020
@jaeyounkim jaeyounkim added stat:awaiting review Waiting on review type:migration Migration from TF 1 to TF 2 labels Apr 25, 2020
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@Vishal-V Autoencoder is deprecated.

@jaeyounkim jaeyounkim closed this Oct 2, 2020
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cla: yes stat:awaiting review Waiting on review type:migration Migration from TF 1 to TF 2
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