5 Questions
Which architecture is faster and can handle longer sequences compared to RNNs and LSTMs?
GRUs
What is the advantage of using Transformers over RNNs?
Transformers can achieve parallelization
Which module in the High Impact Skills Development Program covers Natural Language Processing?
Module 8
What is the purpose of Positional Encoding in Transformers?
To encode the position of each input element
What is the role of the Encoder in the Transformer architecture?
To encode the input sequence
Test your knowledge on the architectures used in Natural Language Processing with this quiz. Learn about Transformers, Positional Encoding, Self Attention, and Encoder-Decoder Architecture. Challenge yourself and assess your understanding in this module of the High Impact Skills Development Program in Artificial Intelligence, Data Science, and Blockchain.
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