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 the process of adjusting the weights of a perceptron based on the input data and the desired output called?Select one:a.Pruningb.Testingc.Validationd.Training

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

What is the process of adjusting the weights and biases of a feedforward neural network called?Select one:a.Validationb.Trainingc.Testingd.All of the above

What is the process of removing unnecessary weights from a trained perceptron called?Select one:a.Pruningb.Trainingc.Validationd.Testing

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