keras
Keras high-level neural network API. Use for deep learning.
npx skills add majiayu000/claude-skill-registry --skill keras --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Keras Keras 3 is a game changer: it is now **multi-backend**. You can write Keras code and run it on top of **JAX, PyTorch, or TensorFlow**. ## When to Use - **Portability**: Write once, run on any framework. - **Simplicity**: `model.fit()` is still the cleanest API in the industry. - **XLA**: Keras 3 enables XLA compilation on all backends by default. ## Core Concepts ### Backend Agnostic The Model is just a blueprint. You choose the engine at runtime. `os.environ["KERAS_BACKEND"] = "jax"` ### Functional API Defining models as a graph of layers: `x = Dense()(inputs)`. ### Keras Core (`keras.ops`) A numpy-like API that works across all frameworks (differentiable numpy). ## Best Practices (2025) **Do**: - **Use Keras 3**: Migrate from `tf.keras`. - **Use JAX backend**: For fastest training on TPUs/GPUs. - **Use PyTorch backend**: If you need to integrate into a larger PyTorch codebase. **Don't**: - **Don't mix `tf.*` ops**: Use `keras.ops.*` to remain framework-agnostic. ## References - [Keras Documentation](https://keras.io/)
- When to Use
- Core Concepts
- Backend Agnostic
- Functional API
- Keras Core (keras.ops)
- Best Practices (2025)
- References
What does the keras skill do?
Keras high-level neural network API. Use for deep learning.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill keras --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.