Source code for the book "Math for Deep Learning"

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

[email protected]

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