Quiz – Deep Learning Demystified

Question 1 of 5

1. Question

Which researchers are credited with the 2012 ImageNet breakthrough in this capsule?

Yann LeCun and Yoshua Bengio

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Alan Turing and John McCarthy

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Tom Mitchell and Andrew Ng

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Ian Goodfellow and Geoffrey Hinton

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Question 2 of 5

2. Question

What are neural networks inspired by?

Biological neurons and how the brain works

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Traditional spreadsheet formulas

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Mechanical gears in early computers

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Fixed if-then rules written by hand

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Question 3 of 5

3. Question

What does the hierarchical, layered learning approach automate?

Feature extraction, eliminating manual programming

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The manual labeling of every image

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The writing of explicit rules for each object

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The physical wiring of the hardware

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Question 4 of 5

4. Question

What does the output layer of a neural network deliver?

Predictions, such as cat or dog, spam or legitimate

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The raw, unprocessed input pixels

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The training dataset itself

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A list of the network’s hyperparameters

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Question 5 of 5

5. Question

What does backpropagation do?

Calculates errors and updates weights backward through the layers

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Removes hidden layers to speed up the network

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Generates new training images automatically

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Stores the final prediction in the input layer

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