Docs text style update
@@ -23,15 +23,14 @@ OpenSeq2Seq v0.2 has the following features:
* Has a built-in support for mixed-precision (which makes the models
run faster and use less memory)
-* Allows to easily experiment with different encoder-decoder combinations,
- e.g. you can combine cnn-based encoder with rnn-based decoder or experiment
- with Transformers architecture with just a few lines change in the config
-
-* Allows to easily switch between different input-output modalities, i.e.
- speech-to-text or text-to-text
-
-* Allows to easily switch between different execution modes, i.e. training,
- evaluation or inference
+* Allows researchers to easily experiment with different encoder-decoder
+ combinations, e.g. you can combine CNN-based encoder with RNN-based decoder
+ or experiment with Transformers architecture with just a few lines change in
+ the config
+
+* Supports different input-output modalities, i.e.
+ speech-to-text or text-to-text and different execution modes, i.e. training,
+ evaluation and inference
* When training the model the toolkit will automatically:
