"Practical Deep Learning: A Python-Based Introduction"

(second edition)

The source code included or referenced in the book is in this archive. The code is organized by chapter. If the chapter is not listed, there's no code to go with it. Color figures mentioned in the book are in the 'figures' directory.

All code is Python 3.X and requires the libraries installed in Chapter 0.

The file tutorial.pdf is a beginner's guide to NumPy, SciPy, Matplotlib, and Pillow.

All datasets are available for download:

All the datasets (2.4 GB)

Expand the tarball in the directory holding the chapter subdirectories.

Updates:

- If using Python 3.12, replace '==2.10.0' with '==2.18.0' when installing TensorFlow

Please send questions, comments, or bugs to:

[email protected]