Personal Project
After AlexNet won ImageNet 2012, popularity and usage of convnets have increased exponentially. Visualizing channels/filters of conv layers turned out to be a powerful tool for analyzing how Convolutional Neural Networks work. Zeiler and Fergus were one of the first people to visualize convnets throughly and went on to win ImageNet 2013. Afterwards, there was a plethora of papers and demos about visualizing convnets, including the popular one by Yosinski.
This project is a continuation of the convnet visualizing trend. By using Tensorflow.js and MobileNet, an efficient CNN architecture, the project visualizes sample channels/filters from MobileNet and does so through web browser only.
git clone https://github.com/mishig25/vizconvnets.git
cd ./vizconvnets
cd frontend
yarn
yarn watch
MIT