Deep Learning CNN Convolutional Neural Networks with Python - Activation Function Quiz

Deep Learning CNN Convolutional Neural Networks with Python - Activation Function Quiz

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial discusses how to handle three outputs for a variable X. It explains the process of applying the Rayleigh function, which serves as an activation function, to these outputs. The tutorial then guides viewers through calculating the resulting outputs for each of the three inputs.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the three outputs mentioned in the problem statement?

58187, 98765, 43210

58187, 12345, 67890

58187, 11111, 22222

58187, 33333, 44444

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the Rayleigh function in this context?

It modifies the variable X.

It determines the number of outputs.

It serves as an activation function.

It is used to calculate the inputs.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used as the activation function in this scenario?

Tanh function

ReLU function

Rayleigh function

Sigmoid function

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the next step after identifying the outputs and the activation function?

Identify the function type.

Calculate the output for each input.

Determine the function parameters.

Calculate the input values.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many inputs need to be calculated using the Rayleigh function?

Three

Four

One

Two