Difference between revisions of "TensorFlow Playground"
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* [[TensorWatch]] | * [[TensorWatch]] | ||
* [[ConvNetJS]] | [[Creatives#Andrej Karpathy |Andrej Karpathy]] | * [[ConvNetJS]] | [[Creatives#Andrej Karpathy |Andrej Karpathy]] | ||
| + | * [https://fossbytes.com/play-deep-neural-network-right-browser-visualization/ Deep Playground — How To Play With A Neural Network Right Here In Your Browser | Adarsh Verma - Fossbytes] | ||
Deep playground is an interactive visualization of neural networks. Tailor the playground to a specific topic or lesson. Just choose which features you’d like to be visible below (in the This Is Cool, Can I Repurpose It? section) then save this link, or refresh the page. | Deep playground is an interactive visualization of neural networks. Tailor the playground to a specific topic or lesson. Just choose which features you’d like to be visible below (in the This Is Cool, Can I Repurpose It? section) then save this link, or refresh the page. | ||
Revision as of 20:28, 8 May 2023
YouTube search... ...Google search
- TensorFlow Playground | Daniel Smilkov and Shan Carter
- written in Javascript (TypeScript) using D3.js
- open source on GitHub
- TensorFlow
- TensorBoard
- TensorBoard: Graph Visualization
- Visualization
- Colaboratory (Colab)
- TensorWatch
- ConvNetJS | Andrej Karpathy
- Deep Playground — How To Play With A Neural Network Right Here In Your Browser | Adarsh Verma - Fossbytes
Deep playground is an interactive visualization of neural networks. Tailor the playground to a specific topic or lesson. Just choose which features you’d like to be visible below (in the This Is Cool, Can I Repurpose It? section) then save this link, or refresh the page.
Why Neural Networks Can Learn Anything
Spiral Example
