One framework, a whole toolbox
Keras is more than a single library — it's a full ecosystem of tools, all speaking the same design language (same callbacks, same save format, same .fit() shape). That shared language is the real reward for committing to one framework:
- KerasCV — Computer vision: pretrained backbones, object detection (YOLOv8), segmentation, advanced augmentation (CutMix, MixUp, RandAugment)
- KerasNLP → KerasHub — NLP and beyond. Renamed to KerasHub in September 2024 as a unified model hub. Access BERT, GPT-2, Gemma, Llama, Mistral with
from_preset() - KerasTuner — Hyperparameter search with RandomSearch, BayesianOptimization, and Hyperband strategies
- keras.io — Official site with hundreds of code examples, guides, and API documentation
Real-world users:
| Organization | Use Case |
|---|---|
| Gemma model family, internal ML infrastructure | |
| CERN | Large Hadron Collider particle physics research |
| NASA | Heliophysics and space weather prediction |
| Waymo | Self-driving car perception models |
| YouTube | Recommendation systems |