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Neural Networks Basics

Authored by Grace Hwang

Computers

University

Used 16+ times

Neural Networks Basics
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10 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Deep Learning is a subfield of machine learning.

True

False

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The bias b is like a weight w in a single-input neuron, except that its input value is 1.

True

False

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Typically, a neuron has exactly one input.

True

False

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Single-layer networks are more powerful than multilayer networks.

True

False

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The line w1x1 + w2x2 + b = 0 passes through the origin if b = 0.

True

False

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The weight vector should be orthogonal to the perceptron decision boundary.

True

False

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The Perceptron Learning Algorithm can solve linearly inseparable problems.

True

False

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