Training Deep Learning Computer Vision Models in Pytorch Part II by Pranay Goel
Offered By: International Centre for Theoretical Sciences via YouTube
Course Description
Overview
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.
Syllabus
Training Deep Learning Computer Vision Models in Pytorch part II by Pranay Goel
Taught by
International Centre for Theoretical Sciences
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity