[Solved] Given this code snippet, what will be the shape of the output from the Bidirectional LSTM layer?from tensorflow.keras.layers import Bidirectional, LSTM, Input from tensorflow.keras.... | NLP

NLP - Sequence Models for NLP

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

from tensorflow.keras.layers import Bidirectional, LSTM, Input
from tensorflow.keras.models import Model

inputs = Input(shape=(10, 8))
lstm = Bidirectional(LSTM(16, return_sequences=False))(inputs)
model = Model(inputs, lstm)
print(model.output_shape)

A(None, 32)

B(None, 16)

C(None, 10, 32)

D(None, 10, 16)

Step-by-Step Solution

Solution:

Step 1: Understand input and LSTM parameters
Input shape is (10, 8) meaning 10 time steps, 8 features. LSTM units=16, return_sequences=False means output is last output only.
Step 2: Calculate output shape of Bidirectional LSTM
Bidirectional doubles units: 16 * 2 = 32. Since return_sequences=False, output shape is (batch_size, 32).
Final Answer:
(None, 32) -> Option A
Quick Check:
Output shape = (batch, units * 2) when bidirectional and return_sequences=False [OK]

Quick Trick: Bidirectional doubles units; return_sequences=False outputs last step only [OK]

Common Mistakes:

MISTAKES

Forgetting bidirectional doubles units
Confusing return_sequences output shape
Assuming output keeps time steps

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

Step 1: Understand input and LSTM parameters

Step 2: Calculate output shape of Bidirectional LSTM

Final Answer:

Quick Check:

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