AI (artificial intelligence)

In backpropagation algorithm to train multi-layer perceptor (MLP), the function signals are propagated backward the NN while the error signals are propagated in the forward direction of the netowrk.

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Predicting the sentiment of customer reviews is an example for regression task. supervised learning. unsupervised learning. classification task. Classification algorithms are normally trained with unlabelled dataset. True False Analysing customers behaviour and their purchase transactions by grouping customers according to their attributes is important for marketing decisions. This is an example of clustering task. classification task. predicting task. regression task. Typically, in classification task the input is and the output is a feature vector for an instance, a real number a feature vector for an instance, a discrete label a discrete label, feature vector for an instance a real number, feature vector for an instance In alpha-beta pruning, the MAX player changes the value of alpha by: alpha=max(alpha,minmax_value) alpha=min(alpha, minmax_value) alpha =max( alpha,beta) alpha =min( alpha, beta) Suppose for an instance x[1,0.2,0.3] with label +1 a single perceptron with a weight voctor f0.5,0.4,0.1] predicts the labol - for this instance. What is the new (ie., updatod) weight vector for this perceptron? {0.5,0.4,0.1}[0.5,02,0.4][1.5,0.6,0.2][0.5,0.2,0.4]