Deep Learning¶
References¶
- Deep Learning | Dr. Tamizharasan
- Neural Networks: Zero to Hero | Andrej Karpathy
- Deep Learning for Computer Vision | Andrej Karpathy | Stanford
- Deep Learning - Deep Understanding | Mike x Cohen
- MIT 6.S191: Introduction to Deep Learning
- Deep Learning in Life Sciences | MIT
- Deep Learning for Physicists | Florian Marquardt
- Deep Learning Crash Course | Leo Isikdogan
- Intro to Deep Learning | CMU
- Deep Learning Systems: Algorithms and Implementation | CMU
- Stanford
- Deep Learning Coursera | Andrew Ng
- Deep Learning | Stanford CS230
- Deep Learning | VU University Amsterdam
- Maziar Raissi | Applied Deep Learning
- Applied Deep Learning 2023 | TU Wien
- Deep Learning | TĂĽbingen Machine Learning | Andreas Geiger, 2023
- Deep Learning | IIT Madras
- New
- Old
- Deep Learning Concepts (Simply Explained) | Pedram Jahangiry
- Deep Learning for Economics (Spring 2023) | Harvard
- Unleashing Novel Data at Scale | Harvard
- Neural Networks for Machine Learning — Geoffrey Hinton, UofT
- CS 152: Neural Networks/Deep Learning—Spring, 2021 | Neil Rhodes
- Deep Learning for Autonomous Vehicles | MIT
- Local Explanations for Deep Learning Models
- Deep Learning (STAT 940) , Fall 2023 | University of Waterloo
- Deep Learning - F2023 University of Guelph
- Foundations of Deep Learning | Soheil Feizi | University of Maryland
- Deep Unsupervised Learning | UC Berkeley
- Deep Learning | Se Young Yun
- Geometric Deep Learning | Michael Bronstein | Oxford
- Deep Learning | Islem Rekik, Basira Lab | Imperial College London
- Deep Graph Learning | Islem Rekik, Basira Lab | Imperial College London
- Transformers United | Stanford
- Neural Networks | Hugo Larochelle | Université de Sherbrooke
- Neural Networks | Meerkat Statistics
- Deep Learning Fundamentals | Lightning.ai
- Deep Learning | École polytechnique
- Deep Learning UC Berkeley
- Deep Learning | TUM