Gain hands-on experience with PyTorch and GPU Deep Learning in this 2-hour 26-minute tutorial designed for data scientists familiar with machine learning concepts. Build common deep learning architectures, evaluate and improve performance, and learn when to leverage additional computing power. Develop practical skills to apply and contribute to the field of deep learning using Python and popular ML packages. By the end of the session, understand how to construct deep learning models in PyTorch, assess their effectiveness, and optimize computational resources for improved results.