README.md

Python Real Estate

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

Important files to run

• predict.py
• train_model.py
• share_preprocessing_tfjs.py

Tensorflowjs Converter

Building the image using docker

    docker build -t tf-converter .

Running the converter using docker

    docker run -it --rm --name tf-converter -v "$(pwd)":/workdir tf-converter --input_format keras ./model/-inputsscaled-outputsscaled-categorical/model.h5 ./shared/model

Install the converter and run it without docker

    pip install tensorflowjs

    tensorflowjs_converter --input_format keras \
                        ./model/-inputsscaled-outputsscaled-categorical/model.h5 \
                        ./shared/model

More resources

• Tensorflow.js
• TensorFlow Docker Images
• Tensorflow.js Converter
• Keras Loss Functions
• Keras Metrics Functions
• Display Deep Learning Model Training History in Keras
• Keras Model Checkpoints
• Keras Early Stopping