- How does an artificial neural network work? How does it "learn", "evaluate" and "use" data accordingly? https://en.wikipedia.org/wiki/Artificial_neural_network 20 comments askscience
- Best Neural Networks course? https://en.wikipedia.org/wiki/artificial_neural_network 3 comments artificial
- Learned about Neural Networks in Robotics class last year. Any suggestions on where I can learn more about this topic? http://en.wikipedia.org/wiki/Artificial_neural_network 4 comments robotics
Linking pages
- Why Nvidia Keeps Winning: The Rise of an AI Giant https://www.chinatalk.media/p/why-nvidia-keeps-winning-the-rise 277 comments
- Inceptionism: Going Deeper into Neural Networks – Google AI Blog http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html 206 comments
- Bitcoin Origins http://vu.hn/bitcoin%20origins.html 184 comments
- What’s Next in Computing?. The computing industry progresses in… | by Chris Dixon | Software Is Eating the World | Medium https://medium.com/software-is-eating-the-world/what-s-next-in-computing-e54b870b80cc 154 comments
- TensorKart: self-driving MarioKart with TensorFlow http://kevinhughes.ca/blog/tensor-kart 79 comments
- Exploring Weight Agnostic Neural Networks – Google AI Blog https://ai.googleblog.com/2019/08/exploring-weight-agnostic-neural.html 66 comments
- Optimized pow() approximation for Java, C / C++, and C# http://martin.ankerl.com/2007/10/04/optimized-pow-approximation-for-java-and-c-c/ 61 comments
- Computing With Random Pulses Promises to Simplify Circuitry and Save Power - IEEE Spectrum https://spectrum.ieee.org/computing/hardware/computing-with-random-pulses-promises-to-simplify-circuitry-and-save-power 55 comments
- GitHub - BrainJS/brain.js: 🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js https://github.com/BrainJS/brain.js 51 comments
- Our Machines Now Have Knowledge We’ll Never Understand | WIRED https://backchannel.com/our-machines-now-have-knowledge-well-never-understand-857a479dcc0e 39 comments
- Inceptionism: Going Deeper into Neural Networks – Google AI Blog http://googleresearch.blogspot.fr/2015/06/inceptionism-going-deeper-into-neural.html 36 comments
- A new way to solve the ‘hardest of the hard’ computer problems https://news.osu.edu/a-new-way-to-solve-the-hardest-of-the-hard-computer-problems/ 32 comments
- Practical Dependent Types in Haskell: Type-Safe Neural Networks (Part 1) · in Code https://blog.jle.im/entry/practical-dependent-types-in-haskell-1.html 32 comments
- Perceptrons - the most basic form of a neural network · Applied Go https://appliedgo.net/perceptron/ 29 comments
- An AI crushed two human pros at StarCraft—but it wasn’t a fair fight | Ars Technica https://arstechnica.com/gaming/2019/01/an-ai-crushed-two-human-pros-at-starcraft-but-it-wasnt-a-fair-fight/ 27 comments
- GitHub - stepanbujnak/kayak: Solving the kayak crossword puzzle with code. https://github.com/stepanbujnak/kayak 21 comments
- Our First Reddit Bot - Coloring B&W Photos Using AI Deep Neural Network Machine http://www.whatimade.today/our-frst-reddit-bot-coloring-b-2/ 20 comments
- Welsh Wikipedia gives me hope. https://slate.com/technology/2019/08/welsh-wikipedia-google-translate.html 20 comments
- Nvidia Introduces cuDNN, a CUDA-based library for Deep Neural Networks http://www.infoq.com/news/2014/09/cudnn 20 comments
- Transformer: A Novel Neural Network Architecture for Language Understanding – Google AI Blog https://research.googleblog.com/2017/08/transformer-novel-neural-network.html 19 comments
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