Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN ForwardStep Implement

The video tutorial explains how to build a neural network with two computational layers and one output unit. It covers the initialization of weights, the implementation of the forward step, and the understanding of input and output dimensions. The tutorial also introduces the concept of activation functions, which will be implemented in the next video.

How does the input dimension change from one layer to the next in the neural network?

Describe the process of the forward step in a neural network.

What is the output dimension of the last layer if it contains five neurons?