Difference between revisions of "ConvNetJS"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=ConvNetJS+artificial+intelligence+deep+learning Youtube search...] |
| − | [ | + | [https://www.google.com/search?q=ConvNetJS+deep+machine+learning+ML+artificial+intelligence ...Google search] |
* [[Libraries & Frameworks]] | * [[Libraries & Frameworks]] | ||
| − | * [ | + | * [https://cs.stanford.edu/people/karpathy/convnetjs/demo/classify2d.html ConvNetJS Demo] | [[Creatives#Andrej Karpathy |Andrej Karpathy]] |
| − | ** [ | + | ** [https://cs.stanford.edu/people/karpathy/convnetjs/ ConvNetJS Project page with demonstrations] |
| − | ** [ | + | ** [https://github.com/karpathy/convnetjs ConvNetJS | GitHub] |
| − | a | + | a [[JavaScript]] library for training Deep Learning models ([[Neural Network#Deep Neural Network (DNN)|Deep Neural Network (DNN)]]) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. |
<youtube>out-60vx558</youtube> | <youtube>out-60vx558</youtube> | ||
Latest revision as of 21:59, 5 December 2023
Youtube search... ...Google search
a JavaScript library for training Deep Learning models (Deep Neural Network (DNN)) entirely in the browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
