Linking pages
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- creatures avoiding planks | 大トロ http://blog.otoro.net/2015/05/07/creatures-avoiding-planks/ 25 comments
- 621+ Programming Resources. Origins from Jon Schoning, Sam Liao… | by whatwhatgoose | Free Stuff | Medium https://medium.com/free-stuff/2000-programming-resources-c2c835001216#.7afcewqn0 22 comments
- Building a Supercomputer with Raspberry Pi - Hackster.io https://blog.hackster.io/building-a-supercomputer-with-raspberry-pi-e8c8b817abc9#.s2utofqs6 15 comments
- Learning Deep Learning with Keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 5 comments
- GitHub - moklick/frontend-stuff: 📝 A continuously expanded list of frameworks, libraries and tools I used/want to use for building things on the web. Mostly JavaScript. https://github.com/moklick/frontend-stuff 4 comments
- Machine learning—what language should I use? - Typefi https://www.typefi.com/machine-learning-language/ 4 comments
- GitHub - mikeroyal/JavaScript-Guide: JavaScript Guide https://github.com/mikeroyal/JavaScript-Guide 2 comments
- Neural Slime Volleyball | 大トロ http://blog.otoro.net/2015/03/28/neural-slime-volleyball/ 2 comments
- GitHub - hades217/awesome-ai: A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project) https://github.com/hades217/awesome-ai 2 comments
- Harness the Power of Machine Learning in Your Browser with Deeplearn.js – Google AI Blog https://research.googleblog.com/2017/08/harness-power-of-machine-learning-in.html 1 comment
- GitHub - mikeroyal/VSCode-Guide: VSCode Guide https://github.com/mikeroyal/VSCode-Guide 1 comment
- 15 Deep Learning Libraries - DataScienceCentral.com http://www.datasciencecentral.com/profiles/blogs/here-are-15-libraries-in-various-languages-to-help-implement-your 0 comments
- Unleashing an army of devices on deep learning models | by Derrick Harris | ARCHITECHT https://architecht.io/an-army-of-laptops-for-training-deep-learning-models-64c21f5f9739#.as8kgykzv 0 comments
- AI in browsers: Comparing TensorFlow, ONNX, and WebDNN for image classification - LogRocket Blog https://blog.logrocket.com/ai-in-browsers-comparing-tensorflow-onnx-and-webdnn-for-image-classification/ 0 comments
- Gertjan van den Burg · Simple MNIST Autoencoder in TensorFlow https://gertjanvandenburg.com/blog/autoencoder/ 0 comments
- 5 ways to add machine learning to Java, JavaScript, and more | InfoWorld http://www.infoworld.com/t/predictive-analytics/5-ways-add-machine-learning-java-javascript-and-more-247535 0 comments
- GitHub - benhauser/ml-lab: Machine Learning Laboratory / Experiments https://github.com/benhauser/ml-lab 0 comments
- Propel: Scientific and ML Computing JavaScript Library from Node.js Founder https://www.infoq.com/news/2018/03/propelml-js-machine-learning 0 comments
- Simpsons Detector http://zachmoshe.com/2017/05/03/simpsons-detector.html 0 comments
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