Fundamentals of ML and AIFull notesSummaryRingkasanStoriesPracticeDeep Learning Fundamentals6 exam-style questions on this lesson.Question 1 of 6Which structure do artificial neural networks use?ANodes organized into an input layer, one or more hidden layers, and an output layerBA single decision rule that experts apply to every input in the same orderCA lookup table of if-then rules written and updated by domain expertsDClusters of unlabeled data points grouped by their distance from a centerCheck answerQuestion 2 of 6How does a neural network learn during training?AIt deletes examples that it gets wrongBIt adjusts the weights of the connections between nodesCIt adds a new layer for every example it seesDDevelopers write a rule for every possible inputCheck answerQuestion 3 of 6A retailer wants to know whether each product photo shows a shirt, a shoe, or a bag. Which computer vision task is this?ASentiment analysisBObject detectionCImage classificationDImage segmentationCheck answerQuestion 4 of 6A self-driving car must find every pedestrian and vehicle in a camera frame and draw a box around each one. Which computer vision task is this?AImage classificationBText classificationCMachine translationDObject detectionCheck answerQuestion 5 of 6A medical imaging tool must mark exactly which pixels in a scan belong to a tumor. Which task is this?AImage segmentationBImage classificationCObject detectionDLanguage generationCheck answerQuestion 6 of 6. Select two.Which TWO tasks are natural language processing (NLP) tasks? (Select TWO.)APredicting house prices from square footageBMachine translation from Spanish to EnglishCImage segmentation of satellite photosDSentiment analysis of product reviewsEObject detection in videoCheck answer0 of 2 selectedMachine Learning Fundamentals11 exam-style questions on this lesson.Generative AI Fundamentals16 exam-style questions on this lesson.