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Analyzed 25 days ago. based on code collected 25 days 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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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


5 Other

30 Day Summary

Dec 30 2019 — Jan 29 2020

12 Month Summary

Jan 29 2019 — Jan 29 2020
  • 362 Commits
    Down -337 (48%) from previous 12 months
  • 91 Contributors
    Down -122 (57%) from previous 12 months