Build your first Neural Network to predict house prices with Keras
A step-by-step complete beginner’s guide to building your first Neural Network in a couple lines of code like a Deep Learning pro!
Published in
16 min readFeb 26, 2019
Writing your first Neural Network can be done with merely a couple lines of code! In this post, we will be exploring how to use a package called Keras to build our first neural network to predict if house prices are above or below median value. In particular, we will go through the full Deep Learning pipeline, from:
- Exploring and Processing the Data
- Building and Training our Neural Network
- Visualizing Loss and Accuracy
- Adding Regularization to our Neural Network
In just 20 to 30 minutes, you will have coded your own neural network just as a Deep Learning practitioner would have!
Pre-requisites:
This post assumes you’ve got Jupyter notebook set up with an environment that has the packages keras, tensorflow, pandas, scikit-learn and matplotlib installed. If you have not done so, please follow the instructions in the tutorial below:
