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

NLP - Sequence Models for NLP

What will be the output shape of this Bidirectional LSTM layer?

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

inputs = Input(shape=(15, 20))
lstm = Bidirectional(LSTM(10, return_sequences=True))(inputs)
model = Model(inputs, lstm)
print(model.output_shape)

A(None, 15, 10)

B(None, 20, 15)

C(None, 10, 15)

D(None, 15, 20)

Step-by-Step Solution

Solution:

Step 1: Analyze input and LSTM parameters
Input shape is (15, 20), LSTM units=10, return_sequences=True means output has time steps.
Step 2: Calculate output shape of Bidirectional LSTM
Bidirectional doubles units: 10 * 2 = 20. Output shape is (batch_size, 15, 20).
Final Answer:
(None, 15, 20) -> Option D
Quick Check:
Output shape = (batch, time_steps, units * 2) with return_sequences=True [OK]

Quick Trick: return_sequences=True keeps time steps; units doubled by bidirectional [OK]

Common Mistakes:

MISTAKES

Not doubling units for bidirectional
Confusing input feature size with output units
Ignoring return_sequences effect

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What will be the output shape of this Bidirectional LSTM layer?

Step 1: Analyze input and LSTM parameters

Step 2: Calculate output shape of Bidirectional LSTM

Final Answer:

Quick Check:

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