To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.
By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...
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