Suposse that you are designing a neural network of three layers (the input layer with a bias unit, one hidden layer with

[answerhappygod]

Suposse That You Are Designing A Neural Network Of Three Layers The Input Layer With A Bias Unit One Hidden Layer With 1 (18.12 KiB) Viewed 54 times

Suposse that you are designing a neural network of three layers (the input layer with a bias unit, one hidden layer without any bias unit, and the output layer) for the binary classification task. To estimate the complexity of the model, you decide to count the number of weights /parameters in your neural network. If your data have features of 1000 dimension, you are using 45 hidden neurons on the hidden layer and one output, then the total number of parameters to be learned is a. 45091 b. 45046 c. 45045 d. 45090