Can a Perceptron be made to form non-linear decision boundary? (Choose the best answer)(1 點)

In the perceptron model, the weight ww vector is perpendicular to the linear decision boundary at all times. True False

Q.No 10. Which of the following is false for the statement“perceptron learning algorithm,”a) Can only learn linearly separable problemsb) Updates its weights based on the sign of the errorc) Requires a pre-defined learning rated) Guarantees finding an optimal solution for any dataset

Is it possible to fed an image into a multi-layer perceptron? 1 pointYesNo

Assume a perceptron:with 3 inputs (x1,x2,x3) plus a bias (x0) statically set to 1with weighted input= x0*w0+x1*w1+x2*w2+x3*w3that outputs 1 if weighted input > 0, else 0with initial weights are all set to 0with weight updating as follows: Wi j+1= Wi j+ a * (Target j- Output j) * X i and a learning rate a=1 How will the final weight vector look like when all data-items are processed? 1 0 1 1 0 0 -1 0 0 -1 0 0 1 0 1 0 None of the above

What is the main function of a perceptron in an artificial neural network?<br /> A. 1. To compute a weighted sum of its inputs and apply an activation function to determine the output. <br />B. 2. To reduce the dimensionality of the inputs based on an activation function and learning rate. <br />C. 3. To cluster input data into positive and negative categories, followed by a sigmoid function. <br />D. 4. To optimize the network parameters using gradient descent and backward propagation.