0.1.0 (2020-05-03)
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New features
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Data preprocessing module: data downloader, data cleaner, data transformer and data splitter
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Model template: model builder, saver, loader and structure printer
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Model trainer
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Custom layers: Conv1DPassMask, FlattenPassMask, DenseWithMask, AttentionLayer and ScaledDotProductAttention
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Custom metrics: BinaryCategoricalAccuarcy
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Other tools: logging and progress bar
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Documentation changes
- Add README
- Add README_ZH