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 `fit()` with JAX
Customizing `fit()` with TensorFlow
Customizing `fit()` with PyTorch
Writing a custom training loop in JAX
Writing a custom training loop in TensorFlow
Writing a custom training loop in PyTorch
Serialization & saving
Customizing saving & serialization
Writing your own callbacks
Transfer learning & fine-tuning
Distributed training with JAX
Distributed training with TensorFlow
Distributed training with PyTorch
Distributed training with Keras 3
Migrating Keras 2 code to Keras 3
Hyperparameter Tuning
KerasCV
KerasNLP
Getting Started with KerasNLP
Pretraining a Transformer from scratch with KerasNLP
Uploading Models with KerasNLP
KerasHub
Keras 3 API documentation
Keras 2 API documentation
Code examples
KerasTuner: Hyperparameter Tuning
KerasHub: Pretrained Models
KerasCV: Computer Vision Workflows
KerasNLP: Natural Language Workflows
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Developer guides
/ KerasNLP
KerasNLP
These guides cover the
KerasNLP
library.
Available guides
Getting Started with KerasNLP
Pretraining a Transformer from scratch with KerasNLP
Uploading Models with KerasNLP
KerasNLP
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Available guides