In the given neural network, the data points value, and the weights are given. To find the output of the neural network, the following steps are taken :
Data Value (x) | Weight(w) | Multiplication |
4 | 0.2 | 0.8 |
2 | 0.3 | 0.6 |
5 | 0.4 | 2 |
2 | 0.1 | 0.2 |
Sum | - | 3.6 |
Sum + Bias(b) | - | 3.6 + 1 = 4.6 |
Activation function(relu) | - | max(0,4.6) = 4.6 |
Node Output = 4.6
Q8: (8 marks) [basic design problem] Given below is a single node in a neural network....
can someone answer the part b Q8: (8 marks) [basic design problem] Given below is a single node in a neural network. Supposing that d is 4, x={4,2,5,2), and w={0.2,0.3.0.4,0.1), b=0.1, and that the activation function is a standard ReLU, that is =max(0,x), where x is the input to the activation function. b 1 W1 WN X 1 Id (a) What is the output of this node? [2 marks] (b) Describe the difference between, recognition and detection in terms of...
A deep learning problem. The following matrices describing a neural network were uncovered by scientists. The weights for the hidden layer are given in the matrix W[1] = [0 1] The bias for the hidden layer is given in the vector b[1] = [1] The weights for the output layer are given in the vector W[2] [8] 0 1 The biases for the output layer are 612] = -0.5 0.75 The input X is given in the vector X 1.25...
Neural Networks We will now build some neural networks to represent basic boolean functions. For simplicity, we use the threshold function as our basic units instead of the sigmoid function, where threshold(t) +1 if the input is greater than 0, and 0 otherwise, we have inputs xi (+1, 0) and weights yī (possible values-l, 0, 1). Suppose we are given boolean input data xi where 1 represents TRUE and 0 represents FALSE. The boolean NOT function can be represented by...
Let's design a convolutional neural network together. Suppose the size of the input image is 32-by-32-by-1 a) The first layer is a convolutional layer. The size of a filter is 7-by-7-by-X. What is the number for X? b) Given a., what is the size of the one feature map (activation map)? Note that we do not pad zeros around the input image and stride -1. c) Suppose we use 32 filters in a. How many feature maps are there after...
1. Consider a neural network, which contains one hidden layer and an output layer with one output unit. Let the hidden units have negative sigmoid as the activation function, which is formulated as 1 n(v) 1 + exp(-1) and the output unit has a linear activation function in which the output is equal to the activation input). (a) Show that the derivative of the negative sigmoid obeys the following relation dn(v) dv = n(v)(1 + n(v)) (b) Let the cost...
1). The weight of w12 is damaged. Before this power failure the output of the network is 0.92129 when input x was applied. Compute the value of w12 weight supposing that the activation function is the logsig (Ans: w12 = 7.5) 2). A power failure damaged weights w11 and w12. Before the damage the output network was 0.539915 when the first column of x was applied and 0.327393 for the second column of x. Compute the values of w11 and...
Question #1 (15 Marks) a) (8 Marks) Answer the following questions with True or False. 1) 2) 3) Every basic solution in the assignment problem is necessarily degenerate. The assignment problem cannot be solved using the transportation technique. If the gradient vector of a function at a given point is zero, the point can only be a maximum or minimum. If a single-variable function has two local minima, it must have at least one local 4) maximum 5) The Golden...
Q1,Q2 and Q3 plz help Question Consider the following inverter design problem: Given VpD 5V, k' 30uA/V , and Vo 1V, design a resistive-load inverter circuit with VoL 0.2V . Specifically, determine the (W/L) ratio of the driver transistor and the value of the load resistor RL that achieve the required VoL- (10 marks) Question 2 Consider a pseudo-nMOS NOR2 gate, with the following parameters: 1V., Vro,load -31V, y = 0.4V1/2, andl F|= 0.6V. The transistor Hn Cox =254A/V2, Vro,driver...
Q1. (10 marks) Construct an activity on arrow network based on the activity descriptions below. Show all your work. Label activities in the network by their activity letters and node numbers. Remove any redundant dependencies and label dummy activities DUMMY1, DUMMY2, etc. • Activities H, R2, T1 start the project. • Activity T2 can start when Activities H, E1 and S are completed. • Activity E1 also depends on Activity R2. • Activity X follows Activity H and precedes Activity...
6. Consider the following basic problem. You're given an array A consisting of n integers A[1], A[2], , Aln]. You'd like to output a two-dimensional n-by-n array B in which B[i, j] (for i <j) contains the sum of array entries Ali] through Aj]-that is, the sum A[i] Ai 1]+ .. +Alj]. (The value of array entry B[i. Λ is left unspecified whenever i >j, so it doesn't matter what is output for these values.) Here's a simple algorithm to...