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Analyzed 7 months ago. based on code collected 7 months ago.

Project Summary

Deep Learning library for Python. Convnets, recurrent neural networks, and more.
Keras is a minimalist, highly modular neural networks library, written in Python and capable of running either on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation.
Use Keras if you need a deep learning library that: - allows for easy and fast prototyping (through total modularity, minimalism, and extensibility). - supports both convolutional networks and recurrent networks, as well as combinations of the two. - supports arbitrary connectivity schemes (including multi-input and multi-output training). - runs seamlessly on CPU and GPU.


arbitrary_connectivity cnn convolutional_networks cpu deep_learning extensibility gpu machine_learning minimalism modularity neural_networks python recurrent_networks rnn tensorflow theano


MIT License

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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

30 Day Summary

Apr 17 2022 — May 17 2022

12 Month Summary

May 17 2021 — May 17 2022
  • 1453 Commits
    Up + 1303 (868%) from previous 12 months
  • 177 Contributors
    Up + 155 (704%) from previous 12 months