Keras 2016

Introduction

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.

Installed version

The currently installed versions are

on the environment hpc-env/8.3

Keras/2.2.4-fosscuda-2019b-Python-3.7.4
Keras/2.4.3-fosscuda-2019b-Python-3.7.4

on the environment hpc-env/6.4

Keras/2.1.5-intel-2018a-Python-3.6.3

on the environment hpc-uniol-env

Keras/2.0.9-intel-2016b-Python-2.7.1

Using Keras

If you want to find out more about Keras on the HPC Cluster, you can use the command

module spider Keras

This will show you basic informations e.g. a short description and the currently installed version.

To load the desired version (e.g. 1.8), you must load the module as well as the environment:

module load hpc-env/6.4
module load Keras

Documentation

For more information about how to use Keras, you can take a look at the getting started tutorial.

Further information are also available on the homepage