Also, remember that the director of AI at Tesla @karpathy also does not have a Ph.D. So one cannot fault Tesla for a recruitment strategy that seeks to maximize finding the best AI talent.
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Furthermore, if you take the myopic viewpoint of mathematical programming then one could argue that Deep Learning is nothing but credit assignment using gradient descent. That's a very impoverished viewpoint!
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The only existing general framework that stitches together ideas from biology and computer science can be found in the complexity sciences. So it is indeed astounding that many DL researcher are ignorant of this field.
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DL research speaking from the viewpoint of either Bayesian statistics or mathematical programming simply do not speak in the same conceptual framework as those in the complexity sciences. Their ignorance is revealed by the language that they use to describe DL.
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