Training Deep Learning Computer Vision Models in Pytorch Part II by Pranay Goel

Dive into the second part of a comprehensive lecture on training deep learning computer vision models using PyTorch. Explore advanced techniques and practical implementations as part of the "Machine Learning for Health and Disease" program organized by the International Centre for Theoretical Sciences. Learn from expert Pranay Goel as he builds upon foundational concepts to enhance your understanding of deep learning applications in computer vision. Gain valuable insights into leveraging PyTorch for developing sophisticated models that can be applied to various health-related image analysis tasks, including medical imaging interpretation and disease diagnosis.