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Structured lessons and walkthroughs for building and deploying specific model architectures.
Distinct from Deep Learning Reference Implementations: Distinct from Reference Implementations: focuses on the pedagogical guidance of building rather than just the final script.
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This project is a comprehensive set of educational resources and structured curricula for learning artificial intelligence and deep learning. It provides a machine learning curriculum consisting of lecture materials and interactive notebooks centered on implementing models using the PyTorch framework. The instructional design follows a code-first approach, where students implement working models before studying the underlying theoretical mathematics. The curriculum is delivered via executable documents that combine live code, equations, and narrative text to guide the implementation and deplo
Offers structured lessons and notebooks as a framework for building and deploying advanced deep learning models.