Hands-On Deep Learning Algorithms with Python

Preparing the dataset

Next, we will generate some random data points with 500 rows and 2 columns (x and y) and use them for training:

data = np.random.randn(500, 2)

As you can see, our data has two columns:

print data[0]array([-0.08575873,  0.45157591])

The first column indicates the value:

print data[0,0]-0.08575873243708057

The second column indicates the value:

print data[0,1]0.4515759149158441

We know that the equation of a simple linear regression is expressed as follows:

Thus, we have two parameters, and . We store both of these parameters ...