A cat dog image classifier deployed client side using javascript

Instructions

Train a keras classifier and save its weights
install tensorflowjs python library

pip install tensorflowjs

Use tensorflowjs converter tool to convert h5 weights to js format.

tensorflowjs_converter --input_format=keras ./model.h5 ./jsweights

Make sure the .h5 weights location is correct and also destination path exists.

After running above command you will see `model.json` and `.bin` files, tensorflowjs converter dumps model architecture in `model.json` and it's weights in `.bin` files.

setup

Place your converted weights inside weights folder
Open classifier.js and update model.json path according to your weights folder
After everything is setup up perfectly run below command inside the directory.

python3 -m http.server

navigate to localhost

Output