Keras is a deep learning API designed for human beings, not machines. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability. When you …

Getting started with Keras Learning resources. Are you a machine learning engineer looking for a Keras introduction one-pager? Read our guide Introduction to Keras for engineers. Want to …

Keras 3 API documentation Models API. The Model class; The Sequential class; Model training APIs; Saving & serialization; Layers API. The base Layer class; Layer activations; Layer …

Keras 3 is a full rewrite of Keras that enables you to run your Keras workflows on top of either JAX, TensorFlow, PyTorch, or OpenVINO (for inference-only), and that unlocks brand new …

First contact with Keras. The core data structures of Keras are layers and models. The simplest type of model is the Sequential model, a linear stack of layers. For more complex …

New examples are added via Pull Requests to the keras.io repository. They must be submitted as a .py file that follows a specific format. They are usually generated from Jupyter notebooks.

They're one of the best ways to become a Keras expert. Most of our guides are written as Jupyter notebooks and can be run in one click in Google Colab , a hosted notebook environment that …

Keras Applications. Keras Applications are deep learning models that are made available alongside pre-trained weights. These models can be used for prediction, feature extraction, …

Jul 10, 2023 · Keras 3 is a deep learning framework works with TensorFlow, JAX, and PyTorch interchangeably. This notebook will walk you through key Keras 3 workflows.

Mar 14, 2017 · Keras has enabled new startups, made researchers more productive, simplified the workflows of engineers at large companies, and opened up deep learning to thousands of …