Skip to main content

Deep learning for humans.

Project description

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow.

It was developed with a focus on enabling fast experimentation and providing a delightful developer experience. The purpose of Keras is to give an unfair advantage to any developer looking to ship ML-powered apps.

Keras is:

  • Simple – but not simplistic. Keras reduces developer cognitive load to free you to focus on the parts of the problem that really matter. Keras focuses on ease of use, debugging speed, code elegance & conciseness, maintainability, and deployability (via TFServing, TFLite, TF.js).

  • Flexible – Keras adopts the principle of progressive disclosure of complexity: simple workflows should be quick and easy, while arbitrarily advanced workflows should be possible via a clear path that builds upon what you’ve already learned.

  • Powerful – Keras provides industry-strength performance and scalability: it is used by organizations and companies including NASA, YouTube, and Waymo. That’s right – your YouTube recommendations are powered by Keras, and so is the world’s most advanced driverless vehicle.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

keras-nightly-2.13.0.dev2023041207.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

keras_nightly-2.13.0.dev2023041207-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file keras-nightly-2.13.0.dev2023041207.tar.gz.

File metadata

File hashes

Hashes for keras-nightly-2.13.0.dev2023041207.tar.gz
Algorithm Hash digest
SHA256 ccb7e2310ad44872a31b4a7b4b75a36ac7dcbd10d84a1c956833bd5aa1f42f42
MD5 c333396e9f2d0e5d79d3604ba836c37d
BLAKE2b-256 6dabfe8d50b1f6521c7c2f096697c321ecdcc665ea050e9aba5f1d7f2b677899

See more details on using hashes here.

File details

Details for the file keras_nightly-2.13.0.dev2023041207-py3-none-any.whl.

File metadata

File hashes

Hashes for keras_nightly-2.13.0.dev2023041207-py3-none-any.whl
Algorithm Hash digest
SHA256 211c2834928f6e1d0b8f53da22cb45b7d0da1d5eb0b38f159f8e2212b3a18abd
MD5 bfd9a426e81892006de28370ed00f2c6
BLAKE2b-256 85ddf01cc1582b58b3820b7c8d61f19ec920a602d610a9b90a87cdd33d99ab8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page