Introduction
============
Fireball is a Deep Neural Network (DNN) library for creating, training, evaluating, quantizing, and compressing DNN based models across a range of applications.

Features
~~~~~~~~
Here is a summary of main features:

* Easily create any network structure using a limited set of fundamental building blocks chained together in a text string.
* Create models for classification, regression, object detection, and NLP applications.
* Add functionality by creating your own "Blocks" and reuse them in your network structure.
* Define your own layer types or loss functions and use them in the network structure.
* Apply Low-Rank decomposition on layers of your model to reduce the number of network parameters.
* Apply Pruning to the network parameters.
* Apply K-Means quantization on network parameters to further reduce the size of model.
* Retrain your model after applying low-rank decomposition, pruning, and/or quantization.
* Compress models using arithmetic entropy coding.
* Export the models to ONNX, Tensorflow, or CoreML even after applying low-rank decomposition, pruning, and/or quantization.