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Great post. I like how he didn't go into too much detail on the math of backprop etc. I find the conceptual understanding of ML is more interesting as a lay per
by armandtamzarian 10y ago
Great post. I like how he didn't go into too much detail on the math of backprop etc. I find the conceptual understanding of ML is more interesting as a lay person.
- banned4life 10y agoIf you google "Hinton machine learning" on youtube, you will find hinton's lecture's they are non-mathematical, he is a psychologist/math guy, and he is the inventor of almost all this stuff, backprop, drop-out, You will find his lectures to be very entertaining and easy to understand, being a psychologist whose desire is to make a computer operate like a human brain, he's more interested in how the brain actually works, than hacking ML code. Hinton describes backprop, why he invented it, and exactly how it emulates the way the human brain works. Hinton now works at microsoft, he is considered the modern day 'godfather' of DeepLearning/ML
- eli_gottlieb 10y ago>You will find his lectures to be very entertaining and easy to understand, being a psychologist whose desire is to make a computer operate like a human brain, he's more interested in how the brain actually works, than hacking ML code. > >Hinton describes backprop, why he invented it, and exactly how it emulates the way the human brain works. Of course, basically no actual neuroscientists or cognitive scientists think the brain actually works via supervised backpropagation. So he actually has a bit of a holy war going on with the people who properly work on human learning rather than machine learning.