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-2.15.0.dev2023091407.tar.gz (1.3 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-2.15.0.dev2023091407-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file keras-nightly-2.15.0.dev2023091407.tar.gz.

File metadata

File hashes

Hashes for keras-nightly-2.15.0.dev2023091407.tar.gz
Algorithm Hash digest
SHA256 cda449f20c0734ce162869e0aa05560bcd5329f361b0f7683242cf4dc19170f3
MD5 2662806737f963a93fd5be25e9df2757
BLAKE2b-256 d57c9e1c460afdd2e468903d8a58d270a435095000759b241c27bd685f7fe2d9

See more details on using hashes here.

File details

Details for the file keras_nightly-2.15.0.dev2023091407-py3-none-any.whl.

File metadata

File hashes

Hashes for keras_nightly-2.15.0.dev2023091407-py3-none-any.whl
Algorithm Hash digest
SHA256 fe95970fea1015cfc809c38dcb39022d81b94b36129751c651e95b527b9677b9
MD5 6adcb5e6432e3f2bcd8161e178b7e6d4
BLAKE2b-256 ad8812651fb5a65bf97a14cf9a54c7e0e7d272cb17637fb24ab35b993412d0e2

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