Apache Spark Deep Learning Cookbook

How to do it...

This section walks through the steps of creating and plotting a sigmoid function with sample data.

1. Create the sigmoid function using a Python function, as seen in the following script:

def sigmoid(input):  return 1/(1+np.exp(-input))

2. Create sample x values for the sigmoid curve using the following script:

X = np.arange(-10,10,1)

3. Additionally, create sample y values for the sigmoid curve using the following script:

Y = sigmoid(X)

4. Plot the x and y values for these points using the following script:

plt.figure(figsize=(6, 4), dpi= 75)plt.axis([-10,10,-0.25,1.2])plt.grid()plt.plot(X,Y)plt.title('Sigmoid Function')plt.show()