Python for Deep Learning - Build Neural Networks in Python - Multi-Layer Perceptron (MLP) Neural Network

The video tutorial explains the concept of deep feedforward neural networks, also known as multilayer perceptrons (MLP). It describes the structure of MLPs, which consist of an input layer, an output layer, and multiple hidden layers that serve as the computational engine. The tutorial then transitions to introduce recurrent neural networks (RNNs).

What is the significance of hidden layers in neural networks?

What is the next topic discussed after multilayer perceptron neural networks?