Skip to content

saliedugit/MathForDeepLearning

 
 

Repository files navigation

MathForDeepLearning

Source code for the book "Math for Deep Learning"

Source code is organized by chapter. If you have questions or comments, please contact me:

rkneuselbooks@gmail.com

Updates

  • The file tutorial.pdf is a beginner's guide to NumPy, SciPy, Matplotlib, and Pillow.
  • p 198, the derivative of a matrix function should be scalar $\partial x$, not $\partial\mathbf{x}$.
  • p 257, the line above Equation 10.10 should be $\left[\frac{\partial E}{\partial y_0}\sigma'(x_0)\ \frac{\partial E}{\partial y_1}\sigma'(x_1)\ \ldots\ \right]^\top$.

About

Source code for the book "Math for Deep Learning" (No Starch Press)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%