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Keras is a deep learning API designed for human beings, not machines. It supports JAX, TensorFlow, and PyTorch backends, and offers pretrained models, guides, examples, and more.
Keras is a powerful and easy-to-use library for building and training deep learning models. Learn how to install Keras 3 with different backends, configure your GPU environment, and access the Keras documentation and tutorials.
Keras is an open-source library that provides a Python interface for artificial neural networks. It supports multiple backends, such as TensorFlow, JAX, PyTorch, and OpenVINO, and has features for fast experimentation, modularity, and extensibility.
Keras is a deep learning API that simplifies the process of building deep neural networks. Initially it was developed as an independent library, Keras is now tightly integrated into TensorFlow as its official high-level API. It supports multiple backend engines like TensorFlow, Theano and Microsoft Cognitive Toolkit (CNTK). Keras makes it easier to train and evaluate deep learning models ...
Keras is the high-level API of the TensorFlow platform for solving machine learning problems, with a focus on modern deep learning. It offers simple, consistent interfaces, clear error messages, and full access to the scalability and cross-platform capabilities of TensorFlow.
Learn how to use Keras, a high-level API for TensorFlow, for various deep learning tasks with code examples. Explore computer vision, natural language processing, structured data, timeseries, and more.
Learn how to use Keras, a high-level neural networks API, with these guides on layer subclassing, fine-tuning, model saving, and more. Run the guides in Google Colab with GPU or TPU support.
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, and MobileNetV3 DenseNet NasNetLarge and NasNetMobile InceptionV3 InceptionResNetV2
Keras is a simple, flexible, and powerful API for building and running neural networks on top of JAX, TensorFlow, or PyTorch. Learn how to use Keras layers, models, data pipelines, and custom components with examples and tutorials.
Keras 3 is a high-level Python library for building and training deep learning models with JAX, TensorFlow, PyTorch, or OpenVINO. Learn how to install, configure, and use Keras 3 for computer vision, natural language processing, and more.