Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Predic

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Information Technology (IT), Architecture, Mathematics
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of the example discussed in the video?
Implementing a convolutional neural network
Exploring the merits and demerits of embeddings
Learning about recurrent neural networks
Understanding different types of embeddings
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the RNN architecture, what is the role of the softmax function?
To compute the hidden state
To generate probabilities of different words
To calculate the cross-entropy loss
To update the weights
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What loss function is used in the RNN example?
Mean Squared Error
Hinge Loss
Cross Entropy
Huber Loss
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of automatic differentiation in the coding setup?
To simplify gradient computations
To enhance the forward pass
To manually compute gradients
To increase the number of units in the RNN
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is emphasized as the main goal in the coding setup for the RNN?
Increasing the number of layers
Optimizing the loss function
Understanding the backward pass
Justifying the forward pass
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