Deep Learning Research Resources

General and Pytorch resources for researchers new to deep learning.

General deep learning:

• Stanford University Course - Convolutional Neural Networks for Visual Recognition: http://cs231n.stanford.edu/
• NYU Deep Learning Course: https://www.youtube.com/watch?v=mTtDfKgLm54&list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI
• Deep Learning Book by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://www.deeplearningbook.org/

Pytorch specific ‘bible’:

• https://pytorch.org/assets/deep-learning/Deep-Learning-with-PyTorch.pdf

Getting started with segmentation:

• Segmentation Models Pytorch - https://github.com/qubvel/segmentation_models.pytorch