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This is a tutorial for deep learning course which includes some experiments. Every experiment uses tensorflow as the implementation platform.

  • A tool for checking your network design.
  • Useage: tf-model-manip.py model.py
  • Requirements:
    1. a python file called model.py
    2. a class called Model with a build method in model.py
    3. Need install pip3 install python-magic tabulate --user . On MacOS may need libmagic.

Docker-materials

  • A folder includes some files to help you create a docker for experiments.

Note

  • If this is your first time doing homeworks, please create a docker first. You can read Docker.md for more informations.

Course slides

https://github.com/megvii-research/megvii-pku-dl-course/tree/master/slides19