Apache Spark Deep Learning Cookbook

How it works...

This section explains how new inputs for height and weight are used to generate a prediction score for gender.

1. A function is created to input new height and weight values and convert the actual values to normalized height and weight values called inputHeight and inputWeight
2. A variable, score, is used to store the normalized values and another function, predictGender, is created to input the score values and output a gender score and description based on the values of w1, w2, and b that were created in the previous section.  These values have already been pre-adjusted using gradient descent to tweak the values and minimize the cost function.
3. Applying the score value to the predict_gender function should reveal the gender