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yulyashka [42]
3 years ago
8

Suppose we have a linearly separable dataset, and we divide the data into training and validation sets. Will a perceptron learne

d on the training dataset (assuming gradient decent works perfectly well) be guaranteed to have i) 0 error on the training dataset ii) 0 error on the validation dataset. Brie y explain. (10 points)
Computers and Technology
1 answer:
Sauron [17]3 years ago
3 0

Answer:

Theoretically Yes

Explanation:

The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.

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vovikov84 [41]

Answer:

B.

Explanation:

A. is not the correct answer because that is called a LAN cable (ethernet)

C. is not correct because it has nothing to do with text messages or printing

D. is called a Bus, and isn't the right answer either

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<em>brainly.com/question/5305223</em>

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2 years ago
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Organizational communication helps us to

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7 0
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Answer:

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I hope this helped. I am sorry if you get this wrong.

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