Dr. justin is a great lecturer I came here after I finished Andrews Ng courses on coursera and I understanded a lot of concepts in a different fashion .
i love this lecture thank you prof.justin! i had a lot of trouble with studying computer vision alone before watching your lecture. this is really helpful for me.
notes to self: 2:25 feature transforms to overcome shortcomings of linear classifiers 13:19 neural nets 24:40 activation function 35:13 space warping (search-space) and why use non-linearity 53:00 convex functions (training linear models optimizes convex functions)
