MIT’s Introduction to Deep Learning: A Free Online Course

MIT has post­ed online its intro­duc­to­ry course on deep learn­ing, which cov­ers appli­ca­tions to com­put­er vision, nat­ur­al lan­guage pro­cess­ing, biol­o­gy, and more. Stu­dents “will gain foun­da­tion­al knowl­edge of deep learn­ing algo­rithms and get prac­ti­cal expe­ri­ence in build­ing neur­al net­works in Ten­sor­Flow.” Pre­req­ui­sites assume cal­cu­lus (i.e. tak­ing deriv­a­tives) and lin­ear alge­bra (i.e. matrix mul­ti­pli­ca­tion). Expe­ri­ence in Python is help­ful but not nec­es­sary. The first lec­ture appears above. The rest of the course mate­ri­als (videos & slides) can be found here.

Intro­duc­tion to Deep Learn­ing will be added to our list of Free Com­put­er Sci­ence Cours­es, a sub­set of our larg­er meta col­lec­tion, 1,700 Free Online Cours­es from Top Uni­ver­si­ties.  You can also find Deep Learn­ing cours­es on Cours­era.

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