Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: ManyToMany Model Solution 02

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Information Technology (IT), Architecture, Physics, Science
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of using one-hot vectors in named entity recognition?
To simplify the neural network architecture
To reduce the size of the dataset
To improve the speed of computation
To encode different classes of entities
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a recurrent neural network, what does the softmax layer provide?
A set of input vectors
A single scalar value
A vector of probabilities
A binary output
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of Y hat in a recurrent neural network?
It is the loss function
It is the learning rate
It is the predicted output at each time step
It represents the input data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which loss function is commonly used for one-hot encoded vectors with multiple categories?
Huber Loss
Cross-Entropy Loss
Hinge Loss
Mean Squared Error
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the cross-entropy loss calculated for a true vector?
By multiplying all probabilities
By averaging the probabilities
By computing the negative log of the true probability
By taking the sum of all probabilities
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