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.dev2023042007.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.dev2023042007-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file keras-nightly-2.13.0.dev2023042007.tar.gz.

File metadata

File hashes

Hashes for keras-nightly-2.13.0.dev2023042007.tar.gz
Algorithm Hash digest
SHA256 3048376e46df6f2e3a66538b84bbde71b0b2e9784d83e282156b0bf704615d06
MD5 25a58417fcc669c060e424589278b62d
BLAKE2b-256 5108eb55a73853c20d97316ab5d123dcdc490725e17255b8033c5985cde4efdd

See more details on using hashes here.

File details

Details for the file keras_nightly-2.13.0.dev2023042007-py3-none-any.whl.

File metadata

File hashes

Hashes for keras_nightly-2.13.0.dev2023042007-py3-none-any.whl
Algorithm Hash digest
SHA256 0c20d708c362d0eefaa7fa7af2a556ea305dd8f35e2a5a386a4ac60aff3163ec
MD5 ac61ee8f81bca1678e8380b446df1006
BLAKE2b-256 3e92ebb4f380b64877e3aa4f350c021e5e7cf3c362886fcb4c9f80dd91c8a123

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