Deep Learning - Deep Neural Network for Beginners Using Python - Combining Probabilities

Deep Learning - Deep Neural Network for Beginners Using Python - Combining Probabilities

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains how two models classify a point with different probabilities and how these probabilities can be combined. It highlights the error of exceeding probability limits and introduces the sigmoid function to correct this, ensuring the combined probability remains valid. The tutorial concludes with a discussion on combining linear boundaries and probabilities.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What probability does Model 1 assign to the yellow point being green?

80%

70%

60%

50%

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the combined probability value before applying any function?

1.0

1.5

0.9

2.0

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is the combined probability value of 1.5 incorrect?

It is a negative number

It is greater than 2

Probabilities must be between 0 and 1

It is less than 1

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used to convert the combined value into a valid probability?

Softmax

Sigmoid

ReLU

Tanh

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the final probability of the yellow point being green after applying the sigmoid function?

0.82

0.75

0.90

0.70

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