At the beginning of the chapter [Neurons and the brain], Prof. Andrew says that the artificial neural network was rebranded with deep learning.
What is the main difference between deep learning and neural networks?
I completed the chapter [ inference: making predictions (forward propagation)]. I am yet to discover this thing.
The Internet suggests that when the number of hidden layers in a neural network is plural, then the network is a deep neural network, and this network’s algorithm is a deep-learning algorithm.