Using a Multilayer Neural Network

We will now apply our knowledge of different layers to real data with using a multilayer neural network on the Low Birthweight dataset.

Getting ready

Now that we know how to create neural networks and work with layers, we will apply this methodology towards predicting the birthweight in the low birthweight dataset. We'll create a neural network with three hidden layers. The low- birthweight dataset includes the actual birthweight and an indicator variable if the birthweight is above or below 2,500 grams. In this example, we'll make the target the actual birthweight (regression) and then see what the accuracy is on the classification at the end, and let's see if our model can identify if the birthweight will be <2,500 grams.

How to do it…

1. First we'll start by loading the libraries and initializing our computational graph:

   import tensorflow as tf
   import matplotlib.pyplot as plt
   import requests
   import numpy as np
   sess = tf.Session()

2. Now we'll load the data from...