change index page a little
OpenSeq2Seq
===========
-Welcome to OpenSeq2Seq toolkit!
+*this is a research project, not an official product by NVIDIA*
-The goal of this project is to greatly simplify working with sequence-to-sequence models in TensorFlow.
-OpenSeq2Seq has the following features:
+OpenSeq2Seq is a toolkit for efficient experimentation with various sequence-to-sequence models.
-* Supports multi-GPU and multi-node training with just 1 line change in the config
-* A built-in support for GPU mixed-precision training makes the models
- run faster and use less memory
+**Main features**:
-* Modular design and flexible configuration makes it easy to build new models and
- experiment with different encoder-decoder
- combinations, e.g. you can combine CNN-based encoder with RNN-based decoder
-
-* Supports different input-output modalities, i.e. speech-to-text, text-to-text
+* Distributed training: multi-GPU and multi-node support.
-* Supports training, evaluation and inference execution modes
+* A built-in support for efficient mixed-precision training on GPUs.
-* When training the model the toolkit will automatically:
+* Modular design and flexible configuration makes it easy to build new models and
+ experiment with different encoder-decoder
+ combinations - you can combine CNN-based encoder with RNN-based decoder, etc.
- * print different training and validation metrics
- * log gradient summaries to make it easier to debug if something goes wrong
- * saves the best models based on the validation loss, so you will never lose
- a good checkpoint
- * saves all outputs, configs and git statistics to make it possible to
- completely reproduce all experiments
+* Supports different input-output modalities: speech-to-text, text-to-text and designed to be extended with new ones.
-To start using this toolkit, look at the
+OpenSeq2Seq is built using TensorFlow. To start using this toolkit, look at the
:ref:`installation instructions <installation-instructions>` and then
see the :ref:`getting started <getting-started>` page.
If you are already familiar with the basics and have
