About Keras Getting started Code examples Developer guides The Functional API The Sequential model Making new layers & models via subclassing Training & evaluation with the built-in methods Customizing what happens in `fit()` Writing a training loop from scratch Serialization & saving Customizing saving & serialization Writing your own callbacks Working with preprocessing layers Working with recurrent neural networks Understanding masking & padding Multi-GPU & distributed training Transfer learning & fine-tuning Hyperparameter Tuning KerasCV KerasNLP Getting Started with KerasNLP Pretraining a Transformer from scratch with KerasNLP API reference Keras Core: Keras for TensorFlow, JAX, and PyTorch KerasTuner: Hyperparameter Tuning KerasCV: Computer Vision Workflows KerasNLP: Natural Language Workflows Why choose Keras? Community & governance Contributing to Keras