NLP - Sequence Models for NLP
You trained an RNN model for text classification but get a ValueError: 'Input 0 of layer simple_rnn is incompatible with the layer: expected ndim=3, found ndim=2'. What is the most likely cause?
You trained an RNN model for text classification but get a ValueError: 'Input 0 of layer simple_rnn is incompatible with the layer: expected ndim=3, found ndim=2'. What is the most likely cause?
medium📝 Debug Q6 of 15
Step-by-Step Solution
Solution:
Step 1: Analyze error message
The error says input to SimpleRNN expects 3D tensor (batch, timesteps, features), but got 2D.Step 2: Identify cause
Input data likely lacks the time steps dimension, so shape is (batch_size, features) instead of (batch_size, timesteps, features).Final Answer:
The input data is missing the time steps dimension -> Option DQuick Check:
Input shape error = Missing time steps dimension [OK]
Quick Trick: RNN input must be 3D: batch, time steps, features [OK]
Common Mistakes:
MISTAKES- Blaming activation or loss for input shape errors
- Ignoring input data shape requirements
- Assuming batch size causes this error
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