First release

Version 0.1.0

Build Keras models using a config. All can be done from the ModelBuilder class. This parses the config, analyzes it and converts it into a Keras model. A serializer is also available which can reproduce the input exactly. Currently the code supports the following parameters:

• Model parameters
  • Loss
  • Activation
  • Optimizer
  • Metrics (optional)
• Dense layers
  • Units
  • Dropout (optional)
• Conv2D layers
  • Filters
  • Kernel size
  • Stride (optional)
  • Max Pooling (optional, can not be combined with Average Pooling)
  • Average Pooling (optional, can not be combined with Max Pooling)
  • Dropout (optional)
• RNN, GRU and LSTM layers
  • Units
  • Dropout (optional)
  • Bidirectional (optional)
• Gaussian Noise layers
  • Stddev