Deep Learning CNN Convolutional Neural Networks with Python - Calculating Number of Weights of DNN Solution

The video tutorial explains the structure of a neural network's input hidden layer, detailing the number of inputs and the calculation of trainable parameters. It covers the breakdown of parameters for different neurons and concludes with a total count of 35 trainable parameters.

How many inputs does the first hidden layer have?

What is the total number of inputs coming from the input layer?

How many inputs do three of the neurons have?

How many trainable parameters does the last neuron have?

What is the total number of trainable parameters calculated?