
Keras: Deep Learning for humans
Keras is a deep learning API designed for human beings, not machines. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability.
Getting started with Keras
We recommend a clean python environment for each backend to avoid CUDA version mismatches. As an example, here is how to create a JAX GPU environment with Conda:
Code examples - Keras
Our code examples are short (less than 300 lines of code), focused demonstrations of vertical deep learning workflows. All of our examples are written as Jupyter notebooks and can be run in one click …
Keras 3 API documentation
Utilities Experiment management utilities Model plotting utilities Structured data preprocessing utilities Tensor utilities Bounding boxes Python & NumPy utilities Scikit-Learn API wrappers Keras …
Keras: Deep Learning for humans
Welcome to multi-framework machine learning. You're already familiar with the benefits of using Keras — it enables high-velocity development via an obsessive focus on great UX, API design, and …
About Keras 3
About Keras 3 Keras is a deep learning API written in Python and capable of running on top of either JAX, TensorFlow, or PyTorch. Keras is: Simple – but not simplistic. Keras reduces developer …
Developer guides - Keras
Our developer guides are deep-dives into specific topics such as layer subclassing, fine-tuning, or model saving. They're one of the best ways to become a Keras expert.
Image classification from scratch - Keras
Apr 27, 2020 · Introduction This example shows how to do image classification from scratch, starting from JPEG image files on disk, without leveraging pre-trained weights or a pre-made Keras …
Handwriting recognition - Keras
Aug 16, 2021 · Handwriting recognition Authors: A_K_Nain, Sayak Paul Date created: 2021/08/16 Last modified: 2025/09/29 Description: Training a handwriting recognition model with variable-length …
Introduction to Keras for engineers
Jul 10, 2023 · Introduction Keras 3 is a deep learning framework works with TensorFlow, JAX, and PyTorch interchangeably. This notebook will walk you through key Keras 3 workflows.