Source code for the book "Math for Deep Learning"
Source code is organized by chapter. If you have questions or comments, please contact me:
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