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, 1,500 Free Online Courses from Top Universities. You can also find Deep Learning courses on Coursera.
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