- [D] Informal "Test of Time" papers discussion (5+ years old) https://www.cs.toronto.edu/~rsalakhu/papers/srivastava14a.pdf 5 comments machinelearning
Linking pages
- Simple diagrams of convoluted neural networks | by Piotr Migdał | InBrowserAI | Medium https://medium.com/inbrowserai/simple-diagrams-of-convoluted-neural-networks-39c097d2925b 6 comments
- Residual Neural Networks - ResNets: Paper Explanation https://debuggercafe.com/residual-neural-networks-resnets-paper-explanation/ 1 comment
- Uncovering Hidden Insights into Dropout Layer - by Priyanka https://vevesta.substack.com/p/uncovering-hidden-insights-into-dropout 0 comments
- Training Compact Transformers from Scratch in 30 Minutes with PyTorch | by Steven Walton | PyTorch | Medium https://medium.com/pytorch/training-compact-transformers-from-scratch-in-30-minutes-with-pytorch-ff5c21668ed5 0 comments
- Implementing a Neural Network in Python – Rohan Varma – Software Engineer @ Facebook http://rohanvarma.me/Neural-Net/ 0 comments
- Toward Fast and Accurate Neural Networks for Image Recognition – Google AI Blog https://ai.googleblog.com/2021/09/toward-fast-and-accurate-neural.html 0 comments
Would you like to stay up to date with Computer science? Checkout Computer science
Weekly.
Related searches:
Search whole site: site:www.cs.toronto.edu
Search title: [D] Informal "Test of Time" papers discussion (5+ years old)
See how to search.