NLP - Sequence Models for NLP
Which of the following is the correct way to add a Bidirectional LSTM layer in Keras?
Which of the following is the correct way to add a Bidirectional LSTM layer in Keras?
easy📝 Syntax Q12 of 15
Step-by-Step Solution
Solution:
Step 1: Recall Keras Bidirectional syntax
In Keras, the Bidirectional wrapper takes an RNN layer like LSTM as its argument.Step 2: Check each option
model.add(Bidirectional(LSTM(units=64))) correctly wraps LSTM inside Bidirectional. The other options misuse the syntax or parameters.Final Answer:
model.add(Bidirectional(LSTM(units=64))) -> Option AQuick Check:
Bidirectional wraps LSTM layer = A [OK]
Quick Trick: Bidirectional wraps LSTM layer, not the other way [OK]
Common Mistakes:
MISTAKES- Putting Bidirectional inside LSTM
- Passing units to Bidirectional instead of LSTM
- Using bidirectional=True parameter in LSTM
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