Apache Spark Deep Learning Cookbook

How it works...

This section explains the math behind the derivative of the sigmoid function along with the logic to create the derivative of the sigmoid function with Python.

1. The neural network will require the derivative of the sigmoid function to predict an accurate output for gender. The derivative of the sigmoid function is calculated using the following formula:

2. We can then create the derivative of the sigmoid function, sigmoid_derivate(), using the original sigmoid function, sigmoid(), in Python. We can plot both functions side by side as seen in the following screenshot:

3. Sigmoid Derivative tracks the slope of the original Sigmoid ...