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Neural networks using Python - Key Vocabulary

Authored by Sakeena Irrum

Computers

12th Grade

Used 263+ times

Neural networks using Python - Key Vocabulary
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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

converting the data into a 1-dimensional array for inputting it to the next layer is called

flatten

dense layer

test dataset

training dataset

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

model that can neither model the training data nor generalise to new data

is called

underfit model

overfit model

well- trained model

None

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

model that can produce good accuracies on both testing and validation data

Is Called

overfit model

well- trained model

All

underfit model

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

_________sample of data used to provide an unbiased evaluation of a final model fit on the training dataset

test dataset

training dataset

validation dataset

None

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A layer that is deeply connected to the layer before it

is called ______

Input Layer

Dense Layer

Output Layer

Not dense Layer

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