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The input is arranged as a matrix where rows represent examples and column represent features. So, if we have say m examples and n features then we will have an m x n matrix as input. This notebook is an excellent example of choosing Relu instead of sigmoid to avoid the vanishing gradient problem. Later [&helli
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