[Solved] What is the issue with this code snippet? from tensorflow.keras.preprocessing.sequence import pad_sequences sequences = [[1, 2], [3, 4, 5]] padded = pad_sequences(sequences, maxlen='5', padding='pre') | NLP

NLP - Sequence Models for NLP

What is the issue with this code snippet?

from tensorflow.keras.preprocessing.sequence import pad_sequences
sequences = [[1, 2], [3, 4, 5]]
padded = pad_sequences(sequences, maxlen='5', padding='pre')

Amaxlen should be an integer, not a string

Bpadding value 'pre' is invalid

Csequences must be numpy arrays, not lists

Dpad_sequences does not accept maxlen parameter

Step-by-Step Solution

Solution:

Step 1: Check parameter types
maxlen expects an integer specifying the length to pad/truncate to.
Step 2: Identify error
maxlen='5' is a string, which causes a type error.
Final Answer:
maxlen should be an integer, not a string -> Option A
Quick Check:
maxlen='5' is invalid, use maxlen=5 [OK]

Quick Trick: maxlen must be integer, not string [OK]

Common Mistakes:

MISTAKES

Passing maxlen as a string
Misunderstanding valid padding values
Assuming sequences must be numpy arrays

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What is the issue with this code snippet?

Step 1: Check parameter types

Step 2: Identify error

Final Answer:

Quick Check:

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