Upcoming Features

Documentation and Support Features

• “Python API” overview of all components of the system
• Improve CIFAR-10 example with a custom evaluation hook.

Model Features

• More intuitive error messages when trying to assemble models.
• Add “flatten” layers automatically before Dense layers.
• Add “activation” layers automatically between layers.
• Multi-model architectures, as used for GANs.

Container Features

• Additional activation functions

Templating Features

• Easily include model pieces from external sources (e.g., KurHub).

Loss/Optimizer Features

• New optimizers
• New loss functions

Data Features

• More expressive data pipelines for creating derivative training sets, pre-processing data, and doing just-in-time manipulation of data.
• Column mapping: assign a column of data from a file to a model container with a different name.

Log Features

• Add a textual logger class.

Usage Features

• Add “accuracy” statistic to the output during training/evaluation.
• Allow command-line arguments to override the specification file.
• Better detecting and handling unused keywords (which may have been typos).
• Standalone “validate” command.

Internal Features

• Review providers: should they always return dictionaries?