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

The video tutorial introduces the concept of parameters or weights in a deep neural network. It uses a simple example with three features and explains the structure of a neural network with two layers and an output layer. The tutorial guides viewers on how to count the total number of weights, which are the parameters of the network. A hint is provided to focus on an extra edge when calculating the parameters, with a promise to provide the solution in the next video.

How do you calculate the total number of parameters in a neural network?

Evaluate responses using AI:

OFF

What hint is provided for calculating the number of parameters, and why is it important?

Evaluate responses using AI:

OFF