Hacker News
- Recommending music on Spotify with deep learning http://benanne.github.io/2014/08/05/spotify-cnns.html 23 comments
Linking pages
- GitHub - eugeneyan/applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. https://github.com/eugeneyan/applied-ml 2 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/awesome-deep-learning-resources 1 comment
- Qix/dl.md at master · ty4z2008/Qix · GitHub https://github.com/ty4z2008/Qix/blob/master/dl.md 1 comment
- Mapping the World of Music Using Machine Learning: Part 2 | by Tim Schmeier | iHeartRadio Tech https://tech.iheart.com/mapping-the-world-of-music-using-machine-learning-part-2-aa50b6a0304c#.c057zss41 1 comment
- Learning Music Genres. Can you listen to a song and call its… | by Diego Aguado | Medium https://medium.com/@diegoagher/learning-music-genres-5ab1cabadfed 0 comments
- The Last 5 Years In Deep Learning – Adit Deshpande – Engineering at Forward | UCLA CS '19 https://adeshpande3.github.io/The-Last-5-Years-in-Deep-Learning 0 comments
- GitHub - robertsdionne/neural-network-papers https://github.com/robertsdionne/neural-network-papers 0 comments
- Cutting Through The Machine Learning Hype http://www.forbes.com/sites/valleyvoices/2016/11/16/cutting-through-the-machine-learning-hype/2/#4ee4906acb1e 0 comments
- Visualizing Hundreds of My Favorite Songs on Spotify | by Dimitris Spathis | Cuepoint | Medium https://medium.com/p/fe50c94b8af3 0 comments
- The fastest convolutions in Theano with meta-optimization – Sander Dieleman https://benanne.github.io/2014/12/09/theano-metaopt.html 0 comments
- Cutting Through the Machine Learning Hype | by Jason Black | RRE Ventures Perspectives https://medium.com/rre-ventures/cutting-through-the-machine-learning-hype-5865920f22#.qx7rdw1gk 0 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/favorite-deep-learning-papers 0 comments
Linked pages
- Spotify - Web Player: Music for everyone http://www.spotify.com/ 365 comments
- http://www.deeplearning.net/software/theano/ 12 comments
- http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf 4 comments
- Guidance: a cheat code for diffusion models – Sander Dieleman https://benanne.github.io/2022/05/26/guidance.html 1 comment
- Learning to rank - Wikipedia https://en.wikipedia.org/wiki/Learning_to_rank 0 comments
- http://homepage.tudelft.nl/19j49/t-SNE.html 0 comments
- Algorithmic Music Recommendations at Spotify http://slideshare.net/MrChrisJohnson/algorithmic-music-recommendations-at-spotify 0 comments
- Diffusion models are autoencoders – Sander Dieleman https://benanne.github.io/2022/01/31/diffusion.html 0 comments
- Collaborative filtering - Wikipedia https://en.wikipedia.org/wiki/Collaborative_filtering 0 comments
- http://papers.nips.cc/paper/5004-deep-content-based-music-recommendation.pdf 0 comments
- Mel scale - Wikipedia https://en.wikipedia.org/wiki/Mel_scale 0 comments
- A/B testing - Wikipedia http://en.wikipedia.org/wiki/A/B_testing 0 comments
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