L4.3 Vectors, Matrices, and Broadcasting

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Computational libraries such as NumPy and PyTorch extend linear algebra concepts in useful ways to make its usage more convenient in practice. In this video, we will learn about broadcasting, which is a concept for creating implicit dimensions for matrix-vector addition and other operations.

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This video is part of my Introduction of Deep Learning course.

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In the training, if we multiply all training vectors with the weight vector, wouldn’t the weights updation be wrong, since we need to update weight based in each net input and use it as input to next training vector

nithinga