Reinforcement Learning with TensorFlow

Steps to solve logistic regression using gradient descent

Putting together all the building blocks we've just covered, let's try to solve a binary logistic regression with two input features.

The basic steps to compute are:

1. Calculate

2. Calculate , the predicted output

3. Calculate the cost function:

Say we have two input features, that is, two dimensions and m samples dataset. Therefore, the following would be the case:

2. Weights and bias ...