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Lab 10 BIA

Total questions: 7

Worksheet time: 24mins

Name
Class
Date
1.

What is tokenization?

a)

A way of separating a piece of text into smaller units.

b)

A way of changing a text in order for it to be readable.

c)

A method of separating a word into letters.

d)

A way of separating a word into silables.

2.

What is the goal of tokenization?

a)

Creating a vocabulary

b)

Reducing the dataset

c)

Generate an RNN suitable dataset

d)

Create a connection between the tokens and the relation between them

3.

Chose the TRUE statements

a)

The RNN is a stateful neural network

b)

The Recurent Neural Network is the same as the Recursive Neural Network

c)

RNN can be used for handwriting recognition or speech recognition

d)

For RNNs their neuron is said to have connections between passes, and through time

4.

What is this?

a)

RNN

b)

GRU

c)

NLP

d)

LSTM

5.

What is this?

a)

RNN

b)

GRU

c)

NLP

d)

LSTM

6.

What is this?

a)

RNN

b)

GRU

c)

NLP

d)

LSTM

7.

Lets say you have a vocalubary variable vocab.

Write a code in order to:

- have 512 hidden layers

- 1000 epochs with a learning rate of 0.5

- train using an LSTM layer on a RNN model

4 lines