hat is the primary purpose of the weight matrix in a perceptron during the training process? a. To store input data b. To define the threshold value c. To calculate the error gradient d. To adjust the connection strengths between neurons

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.

What is the process of adjusting the weights of a perceptron based on each input data point called?Select one:a.Semi-supervised learningb.Batch learningc.Online learningd.Unsupervised learning

What is learnt in a neural network?1 pointWeights and BiasesOnly weightsOnly biasesNone of the above

What is the process of adjusting the weights of a perceptron based on the output of the previous layer in a multi-layer perceptron called?Select one:a.Validationb.Testingc.Trainingd.Backpropagation

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