Artificial Intelligence AI I want the correct answer to this question

Backpropagation is unsupervised learning algorihtm using gradient descent. True False What is the minmax value for state A in the following game tree? 2 10 If the weighted sum of a node in ANN is zero, what is the final output after applying the sigmoid activation function? 1 0.5 1 0 The perceptron algorithm checks the condition to change the weights of connections after every instance in the dataset. True False For the following neural network, what is the output of Y1 node without applying any non-linear activation function. 10.20.0060.074 Backpropagation is unsupervised learning algorihtm using gradient descent. True False MINMAX algorithm for 2-players game requires: low space, high time. high space, low time. low space, low time. high space, high time. When a dataset is linearly separable, there can exist more than one hyperplane that separates the dataset into positiveegative groups (not unique). True False To bound the output values of nodes to be between 1 and +1, we can apply non-linear activation function. ReLU sigmoid tanh softmax