QUESTION 11 Which of the following is/are true about fine tuning? Hint: See section 5.3.2 All layers of the frozen model base used for feature extraction are trained on new data Fully connected layers are jointly trained with top convolution layers. Top layers of the frozen model base used for feature extraction can be trained on new data Only Fully connected layers are trained QUESTION 12 Which of the following is/are true about visualization the various layers in convnets? The first layer acts as a collection of various edge detectors. As you go higher i.e. more deeper layers, the activations encode higher level concepts. As you go higher i.e. more deeper layers, the activations become increasingly abstract and less visually interpretable. The probability of finding blank outputs gets higher as some filters have no matching pattern in the image

QUESTION 11 Which of the following is/are true about fine tuning? Hint: See section 5.3.2 All layers of the frozen model base used for feature extraction are trained on new data Fully connected layers are jointly trained with top convolution layers. Top layers of the frozen model base used for feature extraction can be trained on new data Only Fully connected layers are trained QUESTION 12 Which of the following is/are true about visualization the various layers in convnets? The first layer acts as a collection of various edge detectors. As you go higher i.e. more deeper layers, the activations encode higher level concepts. As you go higher i.e. more deeper layers, the activations become increasingly abstract and less visually interpretable. The probability of finding blank outputs gets higher as some filters have no matching pattern in the image

CMPTR

3rd Edition

ISBN:9781337681872

Author:PINARD

Publisher:PINARD

Chapter12: Enhancing A Document

Section: Chapter Questions

Problem 3QY

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