About Keras Getting started 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 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 Pretraining a Transformer from scratch with KerasNLP Keras API reference Code examples Why choose Keras? Community & governance Contributing to Keras KerasTuner KerasCV KerasNLP