NLP - Sequence Models for NLP
Which input type is required for an embedding layer in NLP?
Which input type is required for an embedding layer in NLP?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Identify embedding layer input requirements
Embedding layers expect integer indices that represent words or tokens as input.Step 2: Evaluate options
Raw text strings and one-hot vectors are not directly accepted; floating point embeddings are outputs, not inputs.Final Answer:
Integer indices representing words -> Option DQuick Check:
Embedding input = Integer indices [OK]
Quick Trick: Embedding layers take integer word IDs, not raw text or vectors [OK]
Common Mistakes:
MISTAKES- Feeding raw text directly
- Using one-hot vectors as input
- Confusing input and output formats
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