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.dev2023041407.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.dev2023041407-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file keras-nightly-2.13.0.dev2023041407.tar.gz.

File metadata

File hashes

Hashes for keras-nightly-2.13.0.dev2023041407.tar.gz
Algorithm Hash digest
SHA256 426ff9391bb530855cffdf0798b3c4e540830cef88f413a59fe529d42d3663b3
MD5 bf0133efa81f12fde7e391d5f359c04a
BLAKE2b-256 85f770fc79b8f2f8ff3e5bee5572b33033085ee4d8aa1d43cfa46ee7ee52fc16

See more details on using hashes here.

File details

Details for the file keras_nightly-2.13.0.dev2023041407-py3-none-any.whl.

File metadata

File hashes

Hashes for keras_nightly-2.13.0.dev2023041407-py3-none-any.whl
Algorithm Hash digest
SHA256 1ef60dffa53704de1a748dad3787e26542da293d62195e8b76abf4aa2ec73fff
MD5 859216835f6fd9da22191b296ec5d8b1
BLAKE2b-256 5c2ddfcb6fd6042d308776268bcf4b89972605485c38bc06453f62dc93f2c08f

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