Hacker News
- The most cited deep learning papers https://github.com/terryum/awesome-deep-learning-papers 47 comments
Linking pages
- GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics https://github.com/sindresorhus/awesome 69 comments
- NanoNets : How to use Deep Learning when you have Limited Data | by Sarthak Jain | NanoNets | Medium https://medium.com/nanonets/nanonets-how-to-use-deep-learning-when-you-have-limited-data-f68c0b512cab#.sv478elrs 50 comments
- GitHub - jnv/lists: The definitive list of lists (of lists) curated on GitHub and elsewhere https://github.com/jnv/lists 28 comments
- 100+ Best Machine Learning Blogs For Beginners https://www.theinsaneapp.com/2021/04/top-machine-learning-blogs-to-follow-in-2021.html 13 comments
- GitHub - oprogramador/github-languages: GitHub languages statistics https://github.com/oprogramador/github-languages 5 comments
- How to keep up with the latest research and trends in ML | by Igor Susmelj | Towards Data Science https://towardsdatascience.com/how-to-keep-up-with-the-latest-research-and-trends-in-ml-a45a356b1001?amp%3Bsk=15dd22b79619b83b7e1313025c9f8a27&source=friends_link 4 comments
- GitHub - sdhnshu/Pytorch-Model-Zoo: A collection of deep learning models implemented in PyTorch https://github.com/sdhnshu/pytorch-model-zoo 4 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- GitHub - EvanLi/Github-Ranking: Github Ranking Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名，每日自动更新 https://github.com/EvanLi/Github-Ranking 2 comments
- How to train Baidus Deepspeech model - Deepgram Blog ⚡️ http://blog.deepgram.com/how-to-train-baidus-deepspeech-model-with-kur/ 1 comment
- No, Kaggle is unsuitable to study AI & ML. A reply to Ben Hamner | by Mostapha Benhenda | HackerNoon.com | Medium https://medium.com/@mostafab/no-kaggle-is-unsuitable-to-study-ai-ml-a-reply-to-ben-hamner-27283878cede 1 comment
- How to keep up with the latest research and trends in ML | by Igor Susmelj | Towards Data Science https://towardsdatascience.com/how-to-keep-up-with-the-latest-research-and-trends-in-ml-a45a356b1001?sk=15dd22b79619b83b7e1313025c9f8a27&source=friends_link 0 comments
- Hyperopt tutorial for Optimizing Neural Networks’ Hyperparameters | by Vooban | vooban AI | Medium http://vooban.com/en/tips-articles-geek-stuff/hyperopt-tutorial-for-optimizing-neural-networks-hyperparameters/ 0 comments
- Understanding, generalisation, and transfer learning in deep neural networks | the morning paper https://blog.acolyer.org/2017/02/27/understanding-generalisation-and-transfer-learning-in-deep-neural-networks/ 0 comments
- How to keep up with the latest research and trends in ML | by Igor Susmelj | Towards Data Science https://towardsdatascience.com/how-to-keep-up-with-the-latest-research-and-trends-in-ml-a45a356b1001 0 comments
- When DNNs go wrong – adversarial examples and what we can learn from them | the morning paper https://blog.acolyer.org/2017/02/28/when-dnns-go-wrong-adversarial-examples-and-what-we-can-learn-from-them/ 0 comments
- GitHub - mbadry1/Top-Deep-Learning: Top 200 deep learning Github repositories sorted by the number of stars. https://github.com/mbadry1/Top-Deep-Learning 0 comments
- 101+ Resources to Learn Data Science - code(love) http://code-love.com/2017/05/27/learn-data-science/ 0 comments
- GitHub - ChristosChristofidis/awesome-deep-learning: A curated list of awesome Deep Learning tutorials, projects and communities. https://github.com/ChristosChristofidis/awesome-deep-learning 0 comments
- An experiment with awesome deep learning papers | the morning paper https://blog.acolyer.org/2017/02/26/an-experiment-with-awesome-deep-learning-papers/ 0 comments
Linked pages
- Creative Commons — CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ 305 comments
- https://deepmind.com/blog/wavenet-generative-model-raw-audio/ 288 comments
- OpenAI https://openai.com/ 134 comments
- [1609.08144] Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation http://arxiv.org/abs/1609.08144 97 comments
- Deep Learning http://www.deeplearningbook.org/ 79 comments
- GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics https://github.com/sindresorhus/awesome 69 comments
- [1412.1897] Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images http://arxiv.org/abs/1412.1897 66 comments
- GitHub - oxford-cs-deepnlp-2017/lectures: Oxford Deep NLP 2017 course https://github.com/oxford-cs-deepnlp-2017/lectures 66 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/ 52 comments
- http://arxiv.org/abs/1410.5401 40 comments
- Deep-Learning-Papers-Reading-Roadmap/README.md at master · floodsung/Deep-Learning-Papers-Reading-Roadmap · GitHub https://github.com/songrotek/deep-learning-papers-reading-roadmap 29 comments
- [1611.03530] Understanding deep learning requires rethinking generalization https://arxiv.org/abs/1611.03530 24 comments
- [1512.02595] Deep Speech 2: End-to-End Speech Recognition in English and Mandarin http://arxiv.org/abs/1512.02595 19 comments
- [1607.01759] Bag of Tricks for Efficient Text Classification https://arxiv.org/abs/1607.01759 15 comments
- [1509.02971] Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971 15 comments
- [1405.4053] Distributed Representations of Sentences and Documents https://arxiv.org/abs/1405.4053 14 comments
- GitHub - kjw0612/awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN https://github.com/kjw0612/awesome-rnn 12 comments
- [1603.08511] Colorful Image Colorization http://arxiv.org/abs/1603.08511 11 comments
- https://arxiv.org/pdf/1509.06461.pdf 10 comments
- [1312.5602] Playing Atari with Deep Reinforcement Learning http://arxiv.org/abs/1312.5602 10 comments
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