The field of deep learning is vast. The sheer number of publications on the subject is enough to overwhelm anyone. In this series we’ll be taking a step back. We’ll forget about the latest tips and tricks that are pushing the state of the art. Instead, through the use of simple datasets and toy problems, we’ll explore the fundamentals of deep learning to give you a better understanding of the big picture.
This series currently contains the following posts: