Deep learning & theoretical machine learning instruction at UTexas (Masters) is the real deal. Here, reading one of professor's recent papers on keypoint object detection - we are expected to code this on our own. B/t this, & Adaboost theory, fascinating stuff. @haltakov 
And @AlejandroPiad , I was preping for exams yesterday & came across this, which says that if you don't assume that a consistent (zero-training-error) hypothesis is possible, it is NP-hard to employ Empirical Risk Minimization to estimate generalization error w/ in certain bounds
Notice the part about NP=P which you tweeted about. Fascinating stuff, looking forward to the midterm exams to then focus on object detection using heatmaps and keypoint detection..#deeplearning #machinelearning #theory #practical #SOTA
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