This project shows how to load a model for predicting house prices using Tensorflow.js and Vue.js
You can read/see more about this in:
- House price prediction 2/4: Using Tensorflow.js, Vue.js and Javascript - Youtube Video
- House price prediction 2/4: Using Tensorflow.js, Vue.js and Javascript - Blog Post
Real Estate
# install dependencies
$ npm install # Or yarn install
# serve with hot reload at localhost:3000
$ npm run dev
# build for production and launch server
$ npm run build
$ npm start
# generate static project
$ npm run generate
# For serving the generated files
npm install -g serve
serve ./dist
# generate static project inside a subfolder
$ npm run generate:use-subfolder
- Live Demo House Price Prediction Application Page
- tf.Tensor.expandDims
- Concatenate a list of tf.Tensors
- Load a model composed of Layer objects, including its topology and optionally weights
- Asynchronously downloads the values from the tf.Tensor
- Synchronously downloads the values from the tf.Tensor
- Tensorflow.js
- TensorFlow Docker Images
- Tensorflow.js Converter
- One Hot Encoding Enumerations