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introduction.md 2.16 KiB

Machine Learning

This section overviews machine learning frameworks and libraries available on the clusters.

TensorFlow

TensorFlow is an end-to-end open source 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.

For the list of available versions, see the TensorFlow 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 (GitHub).

For the list of available versions, type:

$ ml av Theano

Keras

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.

For the list of available versions, type:

$ ml av Keras