XOR gate solution to my post @ https://rahulbhalley.github.io/posts/2017-02/neural-networks-explained.html

hyperparameters_2-snippet.py

# 2nd layer hyperparameters of our network
w = tf.Variable([[1], [-2]])            # weights between hidden layer and output layer.
b = tf.Variable([[0], [0], [0], [0]])   # biases for output units.