This is where I keep my studies for Deep Learning with PyTorch

This folder represents what I studied by following a 25 hour YouTube course from Daniel Bourke on FreeCodeCamp's channel called PyTorch for Deep Learning & Machine Learning – Full Course. It covered the Fundamentals, PyTorch Workflow, Neural Network Classification, Computer Vision, Custom Datasets and also provides it's own GitHub repo.

This folder represents what I'm sutdying by following Daniel Bourke's broader course on Udemy on PyTorch (PyTorch for Deep Learning in 2023: Zero to Mastery) that also covers Transfer Learning, Experiment Tracking, Paper Replication and Model Deployment.