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Commits on Apr 9, 2019

• Add instructions for testing a trained model

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• Predict for the testing set

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• Revert "Merge branch 'master' into thick_conv_lstm"

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• Revert "Revert "Merge branch 'master' into thick_conv_lstm""

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• Revert "Revert "Add mean weight in summary""

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• Revert "Revert "Merge branch 'master' into thick_conv_lstm""

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• Revert "Revert "Drop the redundant Dropout layer because Conv-LSTM does that Dropout already.""

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• Revert "Revert "Drop the initialization layer""

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• Revert "Revert "Merge branch 'master' into thick_conv_lstm""

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• Revert "Revert "Merge branch 'master' into thick_conv_lstm""

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• Revert "Revert "Merge branch 'master' into thick_conv_lstm""

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• Revert "Revert "Add layers to initialize the states of ConvLSTM""

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• Revert "Revert "Merge branch 'master' into thick_conv_lstm""

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• Revert "Revert "Add thick conv_lstm""

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Commits on Mar 27, 2019

• Revert "Add thick conv_lstm"

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• Revert "Merge branch 'master' into thick_conv_lstm"

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• Revert "Add layers to initialize the states of ConvLSTM"

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• Revert "Merge branch 'master' into thick_conv_lstm"

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• Revert "Merge branch 'master' into thick_conv_lstm"

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• Revert "Merge branch 'master' into thick_conv_lstm"

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• Revert "Drop the initialization layer"

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• Revert "Drop the redundant Dropout layer because Conv-LSTM does that Dropout already."

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• Revert "Merge branch 'master' into thick_conv_lstm"

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• Revert "Add mean weight in summary"

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• Revert "Merge branch 'master' into thick_conv_lstm"

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• Revert "use thick_conv_lstm instead of big_conv_lstm"

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• Revert "Clean code"

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Commits on Mar 20, 2019

• Revert "Merge branch 'thick_conv_lstm_initialize' into thick_conv_lstm"

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• Revert "Use the Docker image that has a customized Keras that allows state initialization for ConvLSTM"

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• Revert "Seperate input_fn and model_fn into seperate files."

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• Revert "Implement weighted sampling"

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• Revert "Add spread as a metric into the summary"

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• Revert "Fix boolean flags"

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• Revert "Fix offset selection"

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• Add dataset download instructions

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