Helper notes from Dr. Rowel Atienza's Deep Learning Lessons.
For any questions, please reach us through the following email addresses:
1. Setting up Anaconda on Ubuntu/Linux [PDF]
2. Working with Jupyter Notebook
Notebook is a creative way of presenting your project outputs as it allows users to create documents (notebook) that contains codes, equations, and other visualizations all in one place.
- Activate your working environment
- Install ipykernel:
pip install ipykernel - Adding virtual environment to jupyter:
python -m ipykernel install --user --name=<env_name> - Run notebook:
jupyter notebook
Below is a list of experiments / demos regarding specific topics, done on Jupyter Notebook.
| Topic | |
|---|---|
| Numpy Demo | Jupyter |
| Einsum Demo | Jupyter |
| Einops Demo | Jupyter |
| Timm Demo | Jupyter |
| HuggingFace Demo | Jupyter |
- Stanford's CS231n Computer Vision Basics: YouTube Playlist