Neural Networks for Machine Learning: A Free Online Course Taught by Geoffrey Hinton


The 78-video playlist above comes from a course called Neur­al Net­works for Machine Learn­ing, taught by Geof­frey Hin­ton, a com­put­er sci­ence pro­fes­sor at the Uni­ver­si­ty of Toron­to. The videos were cre­at­ed for a larg­er course taught on Cours­era, which gets re-offered on a fair­ly reg­u­lar­ly basis.

Neur­al Net­works for Machine Learn­ing will teach you about “arti­fi­cial neur­al net­works and how they’re being used for machine learn­ing, as applied to speech and object recog­ni­tion, image seg­men­ta­tion, mod­el­ing lan­guage and human motion, etc.” The cours­es empha­sizes ” both the basic algo­rithms and the prac­ti­cal tricks need­ed to get them to work well.” It’s geared for an inter­me­di­ate lev­el learn­er — com­fort­able with cal­cu­lus and with expe­ri­ence pro­gram­ming (Python).

You can find the video playlist on YouTube. It’s also indexed in our col­lec­tion of Free Com­put­er Sci­ence cours­es, part of our meta col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.

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Open Culture was founded by Dan Colman.