» Developer guides
Developer guides
Our developer guides are deep-dives into specific topics such as layer sublassing, fine-tuning, or model saving. They're one of the best ways to become a Keras expert.
Most of our guides are written as Jupyter notebooks and can be run in one click in Google Colab, a hosted notebook environment that requires no setup and runs in the cloud. Google Colab includes GPU and TPU runtimes.
Available 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
- Training Keras models with TensorFlow Cloud