Designing Custom 2D and 3D CNNs in PyTorch

This tutorial is based on my repository pytorch-computer-vision which contains PyTorch code for training and evaluating custom neural networks on custom data. If you want to follow along with this tutorial and/or use the code, you should clone or download the repository. For more background on using Git see this post. Inside the repository, there is a yml file, tutorial_environment.yml, that includes all the dependencies needed to run the tutorial code. Note that in the conda environment the Python version and package versions are not "bleeding edge" so that this environment should work on Linux, Mac, or Windows. For more background on Anaconda and why it's useful for machine learning projects, see this post.