Keras: Deep Learning for humans
With its multi-backend approach, Keras gives you the freedom to work with JAX, TensorFlow, and PyTorch. Build models that can move seamlessly across these frameworks and leverage the …
Getting started with Keras
Read our Keras developer guides. Are you looking for tutorials showing Keras in action across a wide range of use cases? See the Keras code examples: over 150 well-explained notebooks …
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 …
Code examples - Keras
They should be shorter than 300 lines of code (comments may be as long as you want). They should demonstrate modern Keras best practices. They should be substantially different in topic from all …
Keras: Deep Learning for humans
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 large-scale …
Keras 3 API documentation
Utilities Experiment management utilities Model plotting utilities Structured data preprocessing utilities Tensor utilities Python & NumPy utilities Scikit-Learn API wrappers Keras configuration utilities Keras …
Developer guides - Keras
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 requires …
Keras 2 API documentation
Utilities Model plotting utilities Structured data preprocessing utilities Python & NumPy utilities Backend utilities Keras 2 API documentation Models API Layers API Callbacks API Optimizers Metrics Losses …
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.
Training & evaluation with the built-in methods - Keras
Mar 1, 2019 · Setup # We import torch & TF so as to use torch Dataloaders & tf.data.Datasets. import torch import tensorflow as tf import os import numpy as np import keras from keras import layers …