What is the process of calculating the dot product of the input layer and the weights called?Select one:a.Backpropagationb.Activationc.None of the aboved.Forward propagation

What are the weights in the backpropagation algorithm?Question 10Answera.The values that are used to determine the output of the neural networkb.The values that are adjusted in the backward passc.The values that are used to determine the activation function of the neural networkd.The values that are adjusted in the forward pass

What is the process of adjusting the weights and biases based on the error in the output layer called?Select one:a.Activationb.Backpropagationc.None of the aboved.Forward propagation

What is the input layer in the backpropagation algorithm?Question 8Answera.The layer that determines the activation function of the neural networkb.The layer that is not visible to the user and processes the input datac.The layer that receives the input data and passes it to the hidden layerd.The layer that produces the final output of the neural network

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 forward pass in the backpropagation algorithm?Select one:a.The process of adjusting the weights and biases in the backward directionb.The process of calculating the error between the predicted output and the actual outputc.The process of predicting the output of the neural network based on the input datad.The process of adjusting the weights and biases in the forward direction