Deep playground
Deep playground is an interactive visualization of neural networks, written in typescript using d3.js.
- Free • Open Source
- Online
- GitHub
What is Deep playground?
Deep playground is an interactive visualization of neural networks, written in typescript using d3.js and 
TensorFlow. Github issues is used for tracking new requests and bugs.
What Do All the Colors Mean?
Orange and blue are used throughout the visualization in slightly different ways, but in general orange shows negative values while blue shows positive values.
The data points (represented by small circles) are initially colored orange or blue, which correspond to positive one and negative one.
In the hidden layers, the lines are colored by the weights of the connections between neurons. Blue shows a positive weight, which means the network is using that output of the neuron as given. An orange line shows that the network is assiging a negative weight.
In the output layer, the dots are colored orange or blue depending on their original values. The background color shows what the network is predicting for a particular area. The intensity of the color shows how confident that prediction is.
Deep playground Screenshots
Deep playground information
- LicensingOpen Source (Apache-2.0) and Free product.
- Written in
- Alternatives4 alternatives listed
Supported Languages
- English
GitHub repository
- 10,861 Stars
- 2,394 Forks
- 112 Open Issues
- Updated
Tags
- deep-learning
- Machine Learning
- Artificial intelligence
- neural-networks
Recent user activities on Deep playground
Ugotsta added Deep playground as alternative(s) to Netron
edgatolobo added Deep playground as alternative(s) to Neuroph
kameelali added Deep playground as alternative(s) to Neuronify
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