This notebook presents a prototypical image recognition algorithm. It is a cat classifier that recognizes cats with 70% accuracy!
What to use this notebook for:
- Use logistic regression to build intuition about neural networks.
- Apply gradient descent in simplest and unadorned form.
- Set up the cost function and and update parameters iteratively with computed gradients.
The logistic regression is a powerful modeling technique in itself.