Your first deep learning model

Let’s use deep learning to predict the median house values in Boston to compare our results to the standard machine learning algorithms used in Chapter 11, Machine Learning.

First deep learning libraries

Before building your first deep learning model, let’s take a brief look at the libraries that we will import and use:

• pandas: We need data to build a deep learning model, and pandas, Python’s data analytics library, will remain our standard from Chapter 10, Data Analytics with pandas and NumPy, and Chapter 11, Machine Learning, to read and view data.
• train_test_split: We will use train_test_split as in Chapter 11, Machine Learning, to split the data into a training set and a test set.
• TensorFlow: TensorFlow has become the gold standard in deep learning. Created by Google in 2015, TensorFlow is a free, open source library developed by Google Brain. TensorFlow works on its own, but it is also the backend for keras...