This project shows how to create a model for predicting house prices and exporting some data for later use inside a Tensorflow.js application
You can read/see more about this in:
- House price prediction 1/4: Using Keras/Tensorflow and python - Youtube Video
- House price prediction 1/4: Using Keras/Tensorflow and python - Blog Post
- predict.py
- train_model.py
- share_preprocessing_tfjs.py
docker build -t tf-converter .
docker run -it --rm --name tf-converter -v "$(pwd)":/workdir tf-converter --input_format keras ./model/-inputsscaled-outputsscaled-categorical/model.h5 ./shared/model
pip install tensorflowjs
tensorflowjs_converter --input_format keras \
./model/-inputsscaled-outputsscaled-categorical/model.h5 \
./shared/model