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Daily Quiz (29.12.2020)

Total questions: 13

Worksheet time: 7mins

Name
Class
Date
1.

Does pattern classification belongs to category of non-supervised learning?

a)

yes

b)

no

2.

Which activation function is used between input layer and hidden layer?

a)

Sigmoid

b)

Relu

c)

Softmax

3.

Activation function are function that can be used as ____

a)

Cost Function

b)

Decision Boundary

c)

Loss Function

d)

Classification Function

4.

What are ANNs used for?

a)

Reproduce Human Spinal Functions

b)

Reproduce Human Nervous System

c)

Reproduce Human Foot Functions

d)

Reproduce Human Brain Functions

5.

What are the Three Parts of a Neuron?

a)

Dendrite, Saxon, Aoma

b)

Gamio, Saxio, Dendrition

c)

Dendrite, Soma, Axon

d)

Dęndrìtē, Âxòn, Sómä

6.

What Problems do ANNs not solve?

a)

Geometric problems

b)

Industry problems

c)

Science problems

d)

Financial problems

7.

What does activation function do?

a)

Scale the input layer

b)

Scale the node's output

c)

Determine binary yes or no

8.

Which activation function is used for binary classification?

a)

Relu

b)

Sigmoid

c)

Softmax

d)

Tanh

9.

Which activation function pay attention to negative input?

a)

Relu

b)

Leaky Relu

10.

What is the method for updating the weights?

a)

Activation Function

b)

Cost Function

c)

Back-propagation

d)

Maxpooling

11.

Which network can save internal state?

a)

ANN

b)

CNN

c)

KNN

d)

LSTM

12.

Which of the following are true about activation functions?

a)

Thresholds are the best activation functions because they are easy to set and simple to change.

b)

Sigmoids are useful activation functions because they return a continuous range of values between 0 and 1 allowing range of decisions rather than just “yes” or “no”

c)

ReLU functions are useful activation functions because they are linear from -Infinity to Infinity which simplifies the decision boundary.

d)

ReLU functions are useful activation functions because they are non-linear but with two distinct linear slopes—below and above 0—which give less significance to negative node outputs.

13.

Is the evaluation metric of Cancer Patient Classification and Spam mail Classification same?

a)

Yes

b)

No