I’ve finally gotten around to adding a section on PyTorch basics to my course, Modern Deep Learning in Python (which already goes in-depth on Theano and Tensorflow).
As you recall, this course focuses on modern deep learning techniques such as adaptive learning rates and momentum, modern deep learning frameworks and GPU acceleration, and modern regularization techniques like dropout and batch normalization.
Check out the new videos here: