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Worksheets

Neural Networks Strcutures

Total questions: 9

Worksheet time: 5mins

Name
Class
Date
1.

There are four types of Neural Network Structures

a)

True

b)

False

2.

In Single input Single output network the number of neurons are:

a)

3

b)

4

c)

2

d)

5

3.

What are the minimum number of layers we can have in a NN

a)

Four

b)

Five

c)

Three

d)

Two

4.

Every Function in an Arduino code consists of three parts: (Select all correct answers

a)

The type of the function

b)

The name of the function

c)

The parameters of the function

d)

The serial communication print function

5.

The name of the following function is :

int graduation (float students, float marks, float classroom)

a)

marks

b)

students

c)

graduation

d)

integer

6.

Each layer in NN is connected to the next layer through:

a)

bias

b)

neuron

c)

weight

d)

activation function

7.

The process of computing the prediction of a neural network is called:

a)

forward propagation

b)

back propagation

c)

Activation function

d)

Threshold level

8.

The number of inputs in a MISO NN is larger than MIMO:

a)

True

b)

False

9.

The number of outputs in a MIMO NN is larger than MISO:

a)

True

b)

False