KERAS 3.0 RELEASED A superpower for ML developers Keras is a deep learning API designed for human beings, not machines. Keras focuses on debugging speed, code elegance & conciseness, …

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 …

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 learn more …

Keras Applications Xception EfficientNet B0 to B7 EfficientNetV2 B0 to B3 and S, M, L ConvNeXt Tiny, Small, Base, Large, XLarge VGG16 and VGG19 ResNet and ResNetV2 MobileNet, MobileNetV2, …

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 …

Keras documentation: Code examples Our code examples are short (less than 300 lines of code), focused demonstrations of vertical deep learning workflows.

Keras documentation: Developer guides Developer guides 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 …

Keras documentation: Keras Applications Keras Applications Keras Applications are deep learning models that are made available alongside pre-trained weights. These models can be used for …

Dec 15, 2022 · Keras 3 was built to work on top of TensorFlow, Jax, and Torch backends. You should specify the backend first thing when writing Keras code, before any library imports. We will use the …

Keras documentation: Datasets Datasets The keras.datasets module provide a few toy datasets (already-vectorized, in Numpy format) that can be used for debugging a model or creating simple …