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.

What new insight or understanding did you gain from this video?

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