On-Device AI & Transfer Learning

KNU 2021 practicum materials (2021-knu-cairl)

Project structure

main brach contains all code examples and personal user directories

/tasks - code examples structured as /tasks/task_1/, /tasks/task_2/, etc.

User directories have name pattern /[username]_code

Development

Personal tasks should be implemented in /[username]_code/task_1/, /[username]_code/task_2/, etc.

Each personal task should be implemented in new branch forked from master and merged back after review

If you are using Jupyter Notebook (or JupyterLab) you need to export code to *.py file so automatic style checker would be able to map errors to row position

Code style

This project follows PEP8 standard with automatic style verification

Libraries used

You may refer to this sites for documentation

• NumPy
• Tensor Flow
• scikit-learn
• Matplotlib
• Jupyter Notebook

Useful literature

English

• Goodfellow et al. Deep Learning, MIT Press, 2016.

Russian

• TBD