https://github.com/dmk/fastai-course-notebooks
Jupyter notebooks from the Fastai Deep Learning for Coders course. I copy and sometimes update the notebooks to reflect changes in package APIs or other necessary modifications as I progress through the course.
https://github.com/dmk/fastai-course-notebooks
course-materials deep-learning fastai jupyter-notebook machine-learning python
Last synced: about 2 months ago
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Jupyter notebooks from the Fastai Deep Learning for Coders course. I copy and sometimes update the notebooks to reflect changes in package APIs or other necessary modifications as I progress through the course.
- Host: GitHub
- URL: https://github.com/dmk/fastai-course-notebooks
- Owner: dmk
- Created: 2024-07-25T16:12:06.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-27T14:28:28.000Z (almost 2 years ago)
- Last Synced: 2025-02-07T23:25:36.698Z (over 1 year ago)
- Topics: course-materials, deep-learning, fastai, jupyter-notebook, machine-learning, python
- Language: Jupyter Notebook
- Homepage:
- Size: 1.35 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Practical Deep Learning for Coders Notebooks
This is my copy of Jupyter Notebooks from
[Practical Deep Learning for Coders](https://course.fast.ai/) FastAI course.
It is supposed to be run on your local machine.
I have added minor modifications, to make sure it can be run using the latest versions
of packages.
I have also added notes about what packages needs to be installed and how to install
them in each lesson's README.
## Prerequisites
As this is the first lesson in the course, I recommend creating a Python virtual
environment for the entire course within this repository:
```
pip install virtualenv
virtualenv .venv
source .venv/bin/activate
```
Remember to run the last command each time you start working unless you see (.venv)
in your shell prompt.
Next, install the Jupyter Notebook and fastai packages:
```
pip install fastai jupyter
```
That's it! For each lesson in the course, I'll provide commands to install any additional
packages needed.
If you're unsure how to start Jupyter or how to ensure your code can use your GPU, you can
search online for guides on Jupyter and CUDA.
# List of lessons
* [Lesson 1](./lesson-1/)