Prediction from 2D data

Model: 3 dense layers

Database: Google carsData.json

Library: Tensorflow.js

CPU: AMD 3900X

GPU: Nvidia 1080ti

Step1:Get the data from google

Step2:Create model with three dense layer

Step3: Prepare the data for training

Step4: define the method of training for built model

Step5: test the performance of trained model

Step6: run algorithm

Some codes come from TensorFlow.js and I improve the performance of prediction by adding a dense layer, increasing times of epochs and batch size