Deep Learning - Deep Neural Network for Beginners Using Python - N-Dimensional Space

Deep Learning - Deep Neural Network for Beginners Using Python - N-Dimensional Space

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main challenge when dealing with N-dimensional space?

Calculating the average of data points

Visualizing data in high dimensions

Finding the median of data

Sorting data in ascending order

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do we handle multiple features in an equation?

By adding corresponding weights for each feature

By ignoring the extra features

By using only the first three features

By averaging all feature values

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of weights in handling features?

Weights are used to ignore certain features

Weights are used to prioritize features

Weights are used to divide features

Weights are used to add features together

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What additional component is added to the equation involving features and weights?

A constant

A bias term

A multiplier

A divisor

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What will be the focus of the next lecture?

Sorting algorithms

Calculating averages

Visualizing data in 2D

Implementing perceptrons in Python