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This section overviews machine learning frameworks and libraries available the clusters.
This section overviews machine learning frameworks and libraries available on the clusters.
## TensorFlow
Load TensorFlow module:
TensorFlow is an end-to-end opensource platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. For more information, see the [official website][a].
```console
$ml Tensorflow
```
For the list of available versions, see the [TensorFlow][1] section:
## Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation. For more information, see the [official webpage][b] (GitHub).
Test module:
For the list of available versions, type:
```console
$ml Tensorflow
$ml av Theano
```
Read more about available versions at the [TensorFlow page][1].
## Theano
## Keras
Read more about [available versions][2].
Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. For more information, see the [official website][c].
