JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...
Abstract: Matrix-matrix multiplication is commonly used as the core of operation in linear algebra computations and various applications such as finite element analysis and deep neural networks.
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