Question: Consider a feedforward neural network (NN) with one hidden layer which is depicted in Figure-2 and a corresponding dataset used in this NN presented in

Consider a feedforward neural network (NN) with one hidden layer which is depicted in Figure-2 and a corresponding dataset used in this NN presented in Table-3. Table-3: Dataset for the above NN The activation function in the hidden layer is sigmoid function and the activation function in the output layer is tanh function. Assume initial random weights are as follows: W11=3.5,W12=2.5,W21=3,W22=4.5, WH1=6, and WH2=7. If the Input Record-3 (X1=1, and X2=0) is applied as an input, calculate the output and corresponding error (using RMSE). (15 marks)

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 Databases Questions!

do the math calculation. Consider a feedforward neural network (NN) with one hidden layer which is depicted in Figure-2 and a corresponding dataset used in this NN presented in Table-3. Table-3:...

llustrate different ways of connecting these components together to span a range of performance requirements. [10 marks] For each of the performance categories that you identify state today's typical...

: (i) What data structures are maintained by the page manager. (ii) What happens when a machine performs a read operation to a page. (iii) What happens when a machine performs a write operation to a...

1 Assignment 2 Latent Variables and Neural Networks Due Date: 21:59:59 23 May 2021 Please note that, 1. 1 sec delay will be penalized as 1 day delay. So please submit your assignment in advance...

Consider the feedforward neural network. Let us denote by FC ( in , out ) - the linear layer with in - inputs and out - outputs, followed by some nonlinear activation function. Hence, the diagram of...

Q 1 . Consider a feed - forward neural network with two inputs ( numbered as 1 & 2 ) , one hidden layer including two nodes ( 3 & & 4 ) and two outputs ( 5 & & 6 ) . A weight on connection between...

[Eisenstein Chapter 3 Problem 8] The ReLU activation function can lead to "dead neurons", which can never be activated on any input. Consider a feedforward neural network with a single hidden layer...

Consider a competitive firm with a Cobb-Douglas Production function: Y = f(K, L) = KL. Let P be the price of output, W the wage, and R the rental rate on capital. (a) Prove that this production...

The new CFO thinks that inventories are excessive and could be lowered sufficiently to cause the current ratio to equal the industry average, 2.70, without affecting either sales or net income....

3.42 Let X and Y denote the lengths of life, in years, of two components in an electronic system. If the joint density function of these variables is f(x, y) = e (x + y ), x>0, y >0, 0, elsewhere,...

Find the radius of gyration of a plate covering the region bounded by x=3, x=5, y=0, and y=4 with respect to the y-axis.

A Is it really possible for Sus doctor to pay attention to all of the cultural factors that play into her health care simultaneously? Is it enough for him to consider her financial constraints but...

A Take a moment to Google yourself. Search not only for your name but also your e-mail address. What comes up?

2 What about students who attended the school but did not graduate or who are not in the alumni rolls? Would leaving them out skew the results of your survey as well?