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
Deep Learning with Python and PyTorch.IBM via edX Introduction to Machine Learning
Duke University via Coursera How Google does Machine Learning em Português Brasileiro
Google Cloud via Coursera Intro to Deep Learning with PyTorch
Facebook via Udacity Secure and Private AI
Facebook via Udacity