This is a problem set book based on the second edition of my book “Deep Learning Algorithms”. My goal with this new book was to create a set of 100+ problems that could succinctly summarize my whole “Deep Learning Algorithms” book. Linear algebra operations are at the heart of modern Deep Learning and many of the problems revolve around linear algebra based simple concepts. I hope this is a useful book to quickly get started with deep learning. I do believe these are 100+ essential operations. I hope you enjoy it. The examples and problems are provided in PyTorch or Numpy.