TawehBeysolowII / AnIntroductionToDeepLearning

Code and accompanying data used in my book "An Introduction to Deep Learning"
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comment on book #3

Open neusilba opened 6 years ago

neusilba commented 6 years ago

Hi, maybe not the right place to place this issue nor maybe it isn't the latest version (2017) of the book, on which I comment.

The formula for the L1 norm defined in the book as \sqr{x_1+...+x_n} is not norm nor it fits to the graph (which presents the L1 norm, but what is H_0?). Also the verbal form is rubbish: "This is the same equation as the L2 norm except that the scalars are not squared:" Simply, the dimension is a root?

Commonly the taxicab norm is referred to as L1 which makes the remainder of this paragraph worthless. http://mathworld.wolfram.com/L1-Norm.html

This was what I've got from a first glance. I stopped reading elsewhere in the book.

Cheers