Machine Learning with PyTorch

Discover PyTorch for machine learning applications. Learn key concepts, build neural networks, and deploy models effectively. Ideal for beginners and experienced practitioners seeking practical skills in deep learning with PyTorch.

This training material is available under a CC BY-NC-ND 4.0 license.

Please contact, Erudio for hands-on, instructor-led, onsite or remote, training. Our email is hi@erudio.one.

Installing training materials

Before attending this course, please configure the environments you will need. Within the repository, find the file requirements.txt to install software using pip, or the file environment.yml to install software using conda. I.e.:

$ conda env create -f environment.yml
$ conda activate erudio.pytorch
(erudio.pytorch) $ jupyter notebook PyTorch-00_Outline.ipynb

Or

$ pip install -r requirements.txt
$ juypter notebook PyTorch-00_Outline.ipynb

Generate the Conda environment

To share the environment, it is used:

conda env export --from-history | grep -v "^prefix: " > environment.yml

So only packages that are explicitly requested will be included, and without the prefix, which is the local folder where the package is installed.

After cloning this repository, you can restore the environment using:

conda env create -f environment.yml