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.dev2023040907.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.dev2023040907-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file keras-nightly-2.13.0.dev2023040907.tar.gz.

File metadata

File hashes

Hashes for keras-nightly-2.13.0.dev2023040907.tar.gz
Algorithm Hash digest
SHA256 97540e8c7de93273c8327f6eeb8c91d609f8728098a854f0dcc98e06968d1d65
MD5 e8bcce4bf5d178c3bc1ca05f92c274f0
BLAKE2b-256 bb5e43bf58c595451c9b717900433b34aecd5a7e3f2142791b8a95f880f13a05

See more details on using hashes here.

File details

Details for the file keras_nightly-2.13.0.dev2023040907-py3-none-any.whl.

File metadata

File hashes

Hashes for keras_nightly-2.13.0.dev2023040907-py3-none-any.whl
Algorithm Hash digest
SHA256 e565ea1af8180a7a3a979eaeef98026dde932efa694dc4d25be74d0a6858d503
MD5 6d6340615fad3295e9c4a76c75c0d16d
BLAKE2b-256 247a091fb24521e621b675c060b9d95c2bac118b1adb449dfa99a085b86938a6

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