Question

2. Given a neural network with 3 perceptrons in the input layer, 1 hidden layer with 5 perceptrons and 4 perceptrons output layer. What will be the total number of weights and biases that we will need to train if the Neural network has a fully connected architecture? a) 15 b) 20 c) 44 d) 35

          2. Given a neural network with 3 perceptrons in the input layer, 1 hidden layer with 5 perceptrons and 4 perceptrons output layer. What will be the total number of weights and biases that we will need to train if the Neural network has a fully connected architecture?
a) 15
b) 20
c) 44
d) 35

2. Given a neural network with 3 perceptrons in the input layer, 1 hidden layer with 5 perceptrons and 4 perceptrons output layer. What will be the total number of weights and biases that we will need to train if the Neural network has a fully connected architecture?
a) 15
b) 20
c) 44
d) 35

Added by Juana K.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Varun Indurthi

10/13/2023

Step 1

- Each perceptron in the input layer is connected to each perceptron in the hidden layer. - Number of weights = (number of perceptrons in input layer) * (number of perceptrons in hidden layer) - Number of weights = 3 * 5 = 15 Show more…

Show all steps

Thanks for your feedback!

Given a neural network with 3 perceptrons in the input layer, 1 hidden layer with 5 perceptrons, and 4 perceptrons in the output layer. What will be the total number of weights and biases that we will need to train if the neural network has a fully connected architecture? a) 15 b) 20 c) 44 d) 55 Given a neural network with 3 perceptrons in the input layer, 1 hidden layer with 5 perceptrons, and 4 perceptrons in the output layer. What will be the total number of weights and biases that we will need to train if the neural network has a fully connected architecture? a) 15 b) 20 c) 44 d) 35