Computer Vision
Image classification, detection and segmentation: how machines see.
Expert
Research-level depth and specialist material.
CS231n Course Notes
Stanford's widely used written notes on image classification, optimisation, backpropagation and convolutional networks.
Stanford University
NPTEL: Deep Learning for Computer Vision (IIT Hyderabad)
Prof. Vineeth Balasubramanian's course on CNN architectures, detection, segmentation, attention and generative models for vision.
NPTEL / IIT Hyderabad
Stanford CS231n: Convolutional Neural Networks for Visual Recognition (2017)
The landmark Stanford course on deep learning for vision: image classification, CNN architectures, detection and generative models.
Stanford University School of Engineering

