Attribution

Class material from http://www.philkr.net/dl_class/.

Getting Started

• Download and unzip dataset to dl_class/data/dogs_and_cats
• create a conda environment
• conda install -c anaconda mesa-libegl-cos6-x86_64 for PySuperTuxKart
• pip install -r requirements.txt
• jupyter lab

Troubleshooting

If PySuperTuxKart shows a SegmentationFault, then try to install libegl and pip install --force-reinstall PySuperTuxKart

License:

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The code for all homework assignments (and coding examples in class) is released under the MIT license.

Images

• dog.jpg - CC-BY-SA 3.0
• cat.jpg - CC BY-SA 3.0
• sequence_modelling/docs.txt - Project Gutenberg, Complete Works of William Shakespeare
• imagenet_class_index.json - keras-vis