Showing posts from May, 2017

Jaccard Similarity vs Cosine Similarity Jaccard Similarity is given by sij=pp+q+rsij=pp+

The Black Magic of Deep Learning - Tips and Tricks for the practitioner


I've been using Deep Learning and Deep Belief Networks since 2013.
I was involved in a green field project and I was in charge of deciding the core Machine Learning algorithms to be used in a computer vision platform.

Nothing worked good enough and if it did it wouldn't generalize, required fiddling all the time and when introduced to similar datasets it wouldn't converge. I was lost. I then caught wind from Academia, the new hype of Deep Learning was here and it would solve everything.

I was skeptical, so I read the papers, the books and the notes. I then went and put to work everything I learned.  Suprisingly, it was no hype, Deep Learning works and it works well. However it is such a new concept (even though the foundations were laid in the 70's) that a lot of anecdotal tricks and tips started coming out on how to make the most of it (Alex Krizhevsky covered a lot of them and in so…