[Solved] Given this code snippet, what will be the shape of the output from the LSTM layer? model = Sequential() model.... Given this code snippet, what will be the shape of the output from the LSTM layer? | NLP

NLP - Sequence Models for NLP

Given this code snippet, what will be the shape of the output from the LSTM layer?

model = Sequential()
model.add(Embedding(input_dim=1000, output_dim=64, input_length=10))
model.add(LSTM(32))
output = model.output_shape

A(None, 10, 32)

B(None, 32)

C(None, 64)

D(10, 32)

Step-by-Step Solution

Solution:

Step 1: Understand Embedding and LSTM output shapes
The Embedding layer outputs (batch_size, 10, 64). The LSTM with 32 units returns (batch_size, 32) by default (last output only).
Step 2: Match output shape with options
(None, 32) matches (None, 32) where None is batch size. Other options are incorrect shapes.
Final Answer:
(None, 32) -> Option B
Quick Check:
LSTM output shape = (None, 32) [OK]

Quick Trick: LSTM returns (batch, units) by default, not sequence [OK]

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Given this code snippet, what will be the shape of the output from the LSTM layer?