Difference between revisions of "TensorFlow Playground"
m |
m |
||
| Line 29: | Line 29: | ||
<youtube>Dlklam297Ho</youtube> | <youtube>Dlklam297Ho</youtube> | ||
| + | = Why Neural Networks Can Learn Anything = | ||
| + | <youtube>0QczhVg5HaI</youtube> | ||
= Spiral Example = | = Spiral Example = | ||
Revision as of 20:11, 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 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
