TensorFlow Machine Learning Cookbook - Second Edition

How to do it...

We proceed with the recipe as follows:

1. We start by loading the libraries, including the request library, because we will access the low birth weight data through a hyperlink. We also initiate a session:

import matplotlib.pyplot as plt 
import numpy as np 
import tensorflow as tf 
import requests 
from sklearn import datasets 
from sklearn.preprocessing import normalize 
from tensorflow.python.framework import ops 
ops.reset_default_graph() 
sess = tf.Session()

2. Next, we load the data through the request module and specify which features we want to use. We have to be specific because one feature is the actual birth weight and we don't want to use this to predict whether the birth weight is greater or less than a specific amount. ...