A quick dive into a cutting-edge computational method for learning.
This course was written in collaboration with machine learning researchers and lecturers from MIT, Princeton, and Stanford.
This interactive course dives into the fundamentals of artificial neural networks, from the basic frameworks to more modern techniques like adversarial models.
You'll need mastery of algebra. A basic understanding of calculus and probability will be helpful.