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Tools for defining and executing mathematical operations as directed graphs.
Distinguishing note: No candidates provided; represents the structural foundation of the framework.
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This repository serves as a structured educational resource for machine learning and deep learning, providing a library of executable scripts and notebooks. It is designed to help users master the practical application of data processing, model evaluation, and neural network construction through annotated code samples and guided tutorials. The collection focuses on translating theoretical mathematical concepts into functional code, offering proven patterns for common tasks such as classification and regression. By providing curated examples of layer construction and training loops, the reposi
Defines mathematical operations as a directed graph of nodes to allow for automatic differentiation and efficient hardware acceleration.