Hacker News
Linking pages
- Infrastructure for Deep Learning https://openai.com/blog/infrastructure-for-deep-learning/ 67 comments
- OpenAI and Microsoft https://openai.com/blog/openai-and-microsoft/ 29 comments
- Machine Learning is Fun Part 7: Abusing Generative Adversarial Networks to Make 8-bit Pixel Art | by Adam Geitgey | Medium https://medium.com/@ageitgey/abusing-generative-adversarial-networks-to-make-8-bit-pixel-art-e45d9b96cee7 22 comments
- How to Generate Synthetic Data: Tools and Techniques to Create Interchangeable Datasets https://gretel.ai/blog/how-to-generate-synthetic-data-tools-and-techniques-to-create-interchangeable-datasets 1 comment
- How Apple will use AirPods and data science to create the world's most powerful bot | VentureBeat http://venturebeat.com/2016/09/15/how-apple-will-use-airpods-and-data-science-to-create-the-worlds-most-powerful-bot/ 1 comment
- The Important Things In Life Are Often Simple · Paarth Neekhara https://paarthneekhara.github.io/post/simple-is-awesome/ 0 comments
- An Introduction to Deep Learning for Generative Models http://www.ymer.org/amir/2016/11/21/an-introduction-to-deep-learning-for-generative-models/ 0 comments
- 6 areas of AI and machine learning to watch closely | by Nathan Benaich | Medium https://medium.com/@NathanBenaich/6-areas-of-artificial-intelligence-to-watch-closely-673d590aa8aa#.hl84t81f0 0 comments
- GANs, RL, and transfer learning oh my! (Practical AI #47) |> Changelog https://changelog.com/practicalai/47 0 comments
- Making Algorithms More Like Kids: What Can Four-Year-Olds Do That AI Can't? https://singularityhub.com/2019/06/26/making-algorithms-more-like-kids-what-can-four-year-olds-do-that-ai-cant/ 0 comments
- Data Science - ML - 2019 Round-up - by AbdulMajedRaja https://nulldata.substack.com/p/data-science-ml-2019-round-up 0 comments
- A New Paradigm for Lossy Media Compression | Vaux | Medium https://lindsaywatt-vaux.medium.com/vaux-denoising-speech-compression-technology-43258889d2c9 0 comments
- Generative Adversarial Networks (GANs), Some Open Questions – Off the convex path http://www.offconvex.org/2017/03/15/GANs/ 0 comments
- Infrastructure for Deep Learning https://blog.openai.com/infrastructure-for-deep-learning/ 0 comments
- Generate Photo-realistic Avatars with DCGAN http://www.k4ai.com/avatars/ 0 comments
- Roland’s Generative AI Reading List https://ai.roland.xyz 0 comments
- GitHub - nightrome/really-awesome-gan: A list of papers on Generative Adversarial (Neural) Networks https://github.com/nightrome/really-awesome-gan 0 comments
- GitHub - zhangqianhui/AdversarialNetsPapers: Awesome paper list with code about generative adversarial nets https://github.com/zhangqianhui/AdversarialNetsPapers 0 comments
- Navigating the Unsupervised Learning Landscape | by Eugenio Culurciello | Intuition Machine | Medium https://medium.com/intuitionmachine/navigating-the-unsupervised-learning-landscape-951bd5842df9 0 comments
- On the intuition behind deep learning & GANs — towards a fundamental understanding | by Michael Dietz | Medium https://medium.com/@waya.ai/introduction-to-gans-a-boxing-match-b-w-neural-nets-b4e5319cc935 0 comments
Linked pages
- ChatGPT https://chat.openai.com/ 742 comments
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- 500'000€ Prize for Compressing Human Knowledge http://prize.hutter1.net/ 253 comments
- Kullback–Leibler divergence - Wikipedia http://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence 74 comments
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/chap2.html#the_four_fundamental_equations_behind_backpropagation 64 comments
- GitHub - Newmu/dcgan_code: Deep Convolutional Generative Adversarial Networks https://github.com/Newmu/dcgan_code/blob/master/README.md 46 comments
- Normal distribution - Wikipedia https://en.wikipedia.org/wiki/Normal_distribution 19 comments
- https://gym.openai.com/ 18 comments
- Deep Reinforcement Learning: Pong from Pixels https://karpathy.github.io/2016/05/31/rl/ 16 comments
- OpenAI Gym Beta https://openai.com/blog/openai-gym-beta/ 13 comments
- ImageNet http://image-net.org/index 12 comments
- [1606.03498] Improved Techniques for Training GANs https://arxiv.org/abs/1606.03498 12 comments
- [1406.2661] Generative Adversarial Networks https://arxiv.org/abs/1406.2661 7 comments
- CIFAR-10 and CIFAR-100 datasets https://www.cs.toronto.edu/~kriz/cifar.html 6 comments
- Mutual information - Wikipedia https://en.wikipedia.org/wiki/Mutual_information#Definition 5 comments
- [1312.6114] Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114 4 comments
- Richard Feynman - Wikipedia https://en.wikipedia.org/wiki/Richard_Feynman?ref=reddit 1 comment
- [1601.06759] Pixel Recurrent Neural Networks https://arxiv.org/abs/1601.06759 1 comment
- CS231n Convolutional Neural Networks for Visual Recognition http://cs231n.github.io/convolutional-networks/ 0 comments
- High-Level Explanation of Variational Inference https://www.cs.jhu.edu/~jason/tutorials/variational.html 0 comments
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