Hacker News
- Cs231n is still one of the best courses for ML https://cs231n.github.io/ 5 comments
- Stanford CS231n – Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/ 11 comments
- Research vs grad course for Machine Learning SWE fresh grad jobs? https://cs231n.github.io 10 comments cscareerquestions
Linking pages
- Hacker's guide to Neural Networks http://karpathy.github.io/neuralnets/ 180 comments
- GitHub - prakhar1989/awesome-courses: List of awesome university courses for learning Computer Science! https://github.com/prakhar1989/awesome-courses 137 comments
- Yes you should understand backprop | by Andrej Karpathy | Medium https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b 108 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- GitHub - jbhuang0604/awesome-computer-vision: A curated list of awesome computer vision resources https://github.com/jbhuang0604/awesome-computer-vision 17 comments
- Deep Learning in Rust: baby steps | by Theodore DeRego | Medium https://medium.com/@tedsta/deep-learning-in-rust-7e228107cccc 16 comments
- GitHub - kjw0612/awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN https://github.com/kjw0612/awesome-rnn 12 comments
- GitHub - jrdi/dl-glossary: The Open Source Deep Learning Glossary https://github.com/jrdi/dl-glossary 6 comments
- Learning Deep Learning with Keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 5 comments
- Troubleshooting Convolutional Neural Nets · GitHub https://gist.github.com/zeyademam/0f60821a0d36ea44eef496633b4430fc 3 comments
- 4 Steps for Learning Deep Learning | by Vivek Kumar | Medium https://medium.com/@vzkuma/4-steps-for-learning-deep-learning-86f11fcee54#.6nrtkcrn0 2 comments
- Drilling Down on Depth Sensing and Deep Learning – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2018/10/23/depth-sensing/ 2 comments
- Introduction to CNNs — Without using MNIST! | by Pratik Kumar | Towards AI https://medium.com/towards-artificial-intelligence/introduction-to-cnns-without-using-mnist-ea62040341d0 1 comment
- Neural Networks From Scratch - victorzhou.com https://victorzhou.com/series/neural-networks-from-scratch/ 1 comment
- II: Running a Deep Learning (Dream) Machine – Machine Ponderings http://graphific.github.io/posts/running-a-deep-learning-dream-machine/ 1 comment
- The Important Things In Life Are Often Simple · Paarth Neekhara https://paarthneekhara.github.io/post/simple-is-awesome/ 0 comments
- Free online machine learning curriculum https://huyenchip.com/2019/08/05/free-online-machine-learning-curriculum.html 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- Convolutional neural networks for artistic style transfer — Harish Narayanan https://harishnarayanan.org/writing/artistic-style-transfer/ 0 comments
- Simpsons Detector http://zachmoshe.com/2017/05/03/simpsons-detector.html 0 comments
Related searches:
Search whole site: site:cs231n.github.io
Search title: CS231n Convolutional Neural Networks for Visual Recognition
See how to search.