[Solved] What will be the shape of the hidden state tensor returned by the GRU in the following code?... What will be the shape of the hidden state tensor returned by the GRU in the following code? | NLP

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What will be the shape of the hidden state tensor returned by the GRU in the following code? ```python gru = nn.GRU(input_size=15, hidden_size=30, num_layers=2) input_tensor = torch.randn(3, 5, 15) # seq_len=3, batch=5, input_size=15 output, hidden = gru(input_tensor) print(hidden.shape) ```

A(2, 5, 30)

B(5, 3, 30)

C(3, 5, 15)

D(5, 2, 30)

Step-by-Step Solution

Solution:

Step 1: Recall hidden state shape for multi-layer GRU
Hidden shape is (num_layers, batch_size, hidden_size).
Step 2: Match code parameters to shape
num_layers=2, batch=5, hidden_size=30, so hidden shape is (2,5,30).
Final Answer:
(2, 5, 30) -> Option A
Quick Check:
Hidden shape = (num_layers, batch, hidden_size) [OK]

Quick Trick: Hidden state shape starts with num_layers, then batch [OK]

Common Mistakes:

MISTAKES

Mixing sequence length with batch size
Confusing output and hidden shapes
Ignoring num_layers dimension

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What will be the shape of the hidden state tensor returned by the GRU in the following code?

Step 1: Recall hidden state shape for multi-layer GRU

Step 2: Match code parameters to shape

Final Answer:

Quick Check:

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