Lecture 16

Question 1

What is the idea behind neural networks? What do we want to work out?

Answer 1

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Question 2

What is the difference between males and females in terms of vowels and formants?

Answer 2

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Question 3

What is a perceptron? What is it based off?

Answer 3

saad

Question 4

What are the components of a perceptron? How does it fundamentally work?

Answer 4

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Question 5

What is the classification of the perceptron?

Answer 5

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Question 6

What is the idea that needs to be carried out by the perceptron?

Answer 6

wasdasd

Question 7

How to train? What are the steps?

Answer 7

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Question 8

What is the algorithm for training?

Answer 8

wsasas

Question 9

What is the limitation with perceptrons?

Answer 9

sadasdas

Question 10

How can you upgrade a neuron to make it be able to do non-linear? What are the components? What is the function which is applied?

Answer 10

sasasdasd

Question 11

What happens when multiple layers of this upgraded neuron are put together?

Answer 11

esadasd

Question 12

What is the method to train the weights? What are the equations?

Answer 12

sasasd

Question 13

What are the training steps?

Answer 13

wsadasds

Question 14

What is a the problems with this?

Answer 14

asdads

Question 15

What is the problem with overfitting? Example?

Answer 15

wsASAS

Question 16

How to solve the problems?

Answer 16

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Question 17

What are deep neural networks? What are the properties?

Answer 17

sasas

Question 18

What is an example of overfitting seen in deep neural networks?

Answer 18

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