v0.8.0

Main changes:

• New design for the layer graphs and layers
• Changed inline operators > (still supported) to >> and lists to| operator for parallel connections
• Added 2 new step decay algorithms, namely exponential_decay and polynomial_decay
• New regularizers
• New signals functionality, can be extended with classes (signals attribute)
• Tensorflow optimizers are used instead of self-implemented functions
• Added GroupNorm layer
• Changed behavior for the the predict methods
• Added show method to the networks
• Added plot_errors for the optimizers with better and more accurate visualizations

Small changes:

• The error parameters for optimizers was renamed to loss
• Changed summary format in the logs
• Removed training_errors and validation_errors and it were replaced with new errors attribute
• Renamed the prediction_error method to score

Misc:

• Big code refactoring
• Better exceptions

Removed

• Add-ons were removed
• Tuple of integer as network configuration
• Removed RBFKmeans
• Removed train_end_signal and epoch_end_signal
• Removed plots.error_plot function
• Removed plots.network_structure function