MIT 6.S191 Introduction to Deep Learning

MIT 6.S191 Introduction to Deep Learning - MIT’s official introductory course on deep learning methods with applications in computer vision, and more!

Course Description

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. The 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), they will explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

Course lectures are now LIVE, New lecture every Friday 1pm EST!

For more details visit: http://introtodeeplearning.com/