Skip to content

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

License

Notifications You must be signed in to change notification settings

rkneusel9/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

  • p 300, the last sentence of the penultimate paragraph should read "Here, t, an integer starting at one, is the timestep."
  • The file boston.py in Chapter 2 was sampling the same person repeatedly at times (thanks to ikimmit for the catch!)
  • The file tutorial.pdf is a beginner's guide to NumPy, SciPy, Matplotlib, and Pillow.
  • p 29, the upper limit on randint should be 365, not 364 (code updated).
  • 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 $\left[\frac{\partial E}{\partial y_0}\sigma'(x_0)\ \frac{\partial E}{\partial y_1}\sigma'(x_1)\ \ldots\ \right]^\top$.
  • Tweaked the Ch 10 code in build_dataset.py to conform to newer Keras versions

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