What is the primary role of a loss function in a neural network?
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Exercise 02

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Information Technology (IT), Architecture
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To increase the complexity of the model
To measure the difference between predicted and actual outputs
To reduce the size of the dataset
To enhance the speed of computation
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a Named Entity Recognition task, what does each word correspond to?
A sentence
A paragraph
A class category
A numerical value
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which architecture is suitable for tasks with equal input and output lengths?
Many-to-one
One-to-many
One-to-one
Many-to-many
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of neural network is typically used in many-to-many architectures?
Convolutional Neural Network
Recurrent Neural Network
Generative Adversarial Network
Feedforward Neural Network
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why are loss functions crucial in recurrent neural networks?
They determine the network's architecture
They help in optimizing the network's performance
They increase the number of layers
They reduce the training time
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