I often take notes while reading and promptly lose them afterwards. So I'm storing them here instead.

  • Deep Learning Architectures: A Mathematical Approach - Calin
  • The Pragmatic Programmer - Hunt, Thomas
  • Zero to One - Thiel, Masters
  • The Elements of Computing Systems - Nisan, Schocken
  • Theory of Deep Learning - Arora
  • Geometric Deep Learning Grids, Groups, Graphs, Geodesics, and Gauges - Bronstein, Bruna, Cohen, Velickovic