What is the purpose of the Dropout layer in the LSTM with Dropout model?
Answer options
A
Recurrence
B
Embedding
C
Activation function
D
Regularization to prevent overfitting
E
Tokenization
Correct answer: Regularization to prevent overfitting
Explanation
The source marks the correct answer as: Regularization to prevent overfitting.