Applications of Deep Neural Networks with PyTorch - Module 1.1

Learn about deep neural networks through this introductory video from Washington University in St. Louis's hybrid course that explores PyTorch implementation and practical applications. Discover how neural networks excel compared to traditional machine learning models while gaining access to comprehensive learning materials including GitHub repositories, video playlists, and course resources. Follow along with the provided Jupyter notebook to begin hands-on learning of PyTorch-based deep neural networks, taught by Jeff Heaton who offers additional support through various social media platforms and a dedicated Discord community.