DeepLearningProject
This tutorial provides a detailed guide on developing a machine learning pipeline with PyTorch. It involves creating custom datasets, exploring traditional algorithms, and transitioning to deep learning. Based on a Harvard graduate course project, it includes updated PyTorch code and clear setup instructions. Available in both HTML and IPython Notebook formats, it is designed for those aiming to expand their machine learning knowledge.
