Question: Here, data is input at layer ( 0 ) , this activates neurons in layer ( 1 ) , which become the inputs for neurons

Here, data is input at layer (0), this activates neurons in layer (1), which become the inputs for neurons in layer (2).
(We've stopped explicitly drawing the biases here.)
Which of the following statements are true?
1 point
This network can always be replaced with another one with the same amount of input and output neurons, but no hidden layers.
This neural network has 5 biases.
This neural network has 9 biases.
None of the other statements.
The number of weights in a layer is the sum of the input and output neurons to that layer plus 1.
The number of weights in a layer is the product of the input and output neurons to that layer.

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Programming Questions!