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
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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
KerasNLP
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Available guides