Lecture 2.3: Backpropagation, a tensor view (DLVU)

lecturer: Peter Bloem
course website: https://dlvu.github.io

In this video, we work out the backpropagation algorithm in a vectorized version: that is purely in terms of basic linear algebra operations like matrix and vector multiplication. This helps us to express neural networks in a clean notation, and to accelarate their computation.

Видео Lecture 2.3: Backpropagation, a tensor view (DLVU) канала DLVU