Currently train.py is overloaded with many independent features. Understanding the code and what will be the result of a training call requires untangling the entire script. It's also an error prone UX. This is a first step at separating independent parts into their own scripts.
Project DeepSpeech ================== .. image:: https://readthedocs.org/projects/deepspeech/badge/?version=latest :target: https://deepspeech.readthedocs.io/?badge=latest :alt: Documentation .. image:: https://community-tc.services.mozilla.com/api/github/v1/repository/mozilla/DeepSpeech/master/badge.svg :target: https://community-tc.services.mozilla.com/api/github/v1/repository/mozilla/DeepSpeech/master/latest :alt: Task Status DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on `Baidu's Deep Speech research paper <https://arxiv.org/abs/1412.5567>`_. Project DeepSpeech uses Google's `TensorFlow <https://www.tensorflow.org/>`_ to make the implementation easier. Documentation for installation, usage, and training models are available on `deepspeech.readthedocs.io <https://deepspeech.readthedocs.io/?badge=latest>`_. For the latest release, including pre-trained models and checkpoints, `see the latest release on GitHub <https://github.com/mozilla/DeepSpeech/releases/latest>`_. For contribution guidelines, see `CONTRIBUTING.rst <CONTRIBUTING.rst>`_. For contact and support information, see `SUPPORT.rst <SUPPORT.rst>`_.
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