MIT Introduction to Deep Learning: 6.S191.
Massachusetts Institute of Technology (MIT)
New 2021 Edition Coming Soon!

For more details: http://introtodeeplearning.com

MIT's introductory course on deep learning methods with 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. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

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Credits:
- Alexander Amini and Ava Soleimany (course instructors)
- Max Kessler (course footage)
- Larry Zhang (campus drone footage)