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: The road in the remote sensing image has the characteristics of slender and tortuous shape, complex connectivity, large road span, strong connectivity, complex ground information of the ...

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.