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Platform-agnostic layers that allow model execution across different hardware accelerators and tensor frameworks.
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Keras is a high-level deep learning framework designed for constructing and training neural networks through the composition of modular, functional layers. It serves as a comprehensive modeling toolkit that provides standardized procedures for defining, evaluating, and deploying complex architectures. By utilizing a di
Abstracts underlying tensor operations to enable seamless model execution across diverse hardware accelerators.