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Home Page: http://medium.com/inveterate-learner
Attempting to make the Deep Learning Book easier to understand.
Home Page: http://medium.com/inveterate-learner
Found this pretty useful. Nice effort ๐
A few suggestions:
(Ref: https://arxiv.org/pdf/1603.07285.pdf)
A few rendering issues:
Mathjax ($$ h(K,G,s){i,j,k} = \frac{\partial}{\partial V{i,j,k}}J(V,K) \ = \sum_{\substack{l,m \ s.t. \ (l-1)\times s+m=j}} \sum_{\substack{n,p \ s.t. \ (n-1)\times s+p=k}} \sum_{q} K_{q,i,m,p}G_{q,l,n} $$)
Could you clean up warnings on the scikit usage (code cell 1,3)?
In Section 6 (Special Kinds of Matrices and Vectors) of Chapter 2, it should be Orthogonal Matrix rather than Orthonormal Matrix in the last point.
First, I really thank for your work, which does help me!
I think you can promote it better by mentioning about squared L2 norm in front of x.T.dot(x)
or sqrt(x.T.dot(x))
where may make beginners like me confused about Euclidean norm.
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