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KERAS
Multi-backend deep learning framework for humans
Apache-2.0
ABOUT
Building deep learning models often requires verbose, framework-specific boilerplate for model definition, training loops, and deployment, making rapid iteration costly. Keras provides a clean, high-level API that abstracts away backend complexity — supporting JAX, TensorFlow, and PyTorch interchangeably — so developers can define, train, and export models without committing to a single deep learning framework or rewriting code when switching backends.
INSTALL
pip install kerasINTEGRATION GUIDE
1. Build and train computer vision models with convolutional and transformer architectures
2. Fine-tune large language and multimodal models using a consistent high-level API
3. Prototype and iterate on neural network architectures with a readable, composable model API
4. Export trained models across JAX, TensorFlow, PyTorch, and OpenVINO runtimes
5. Train and deploy models at scale on GPU and TPU hardware with minimal code changes
TAGS
deep-learningmachine-learningpythonjaxpytorchtensorflowneural-networks