What is the impact of flattening on model performance?
Flattening can significantly affect model performance by reducing complexity and improving training speed.
Can you explain how it reduces complexity?
Flattening simplifies the model architecture, making it easier for the algorithm to learn patterns without overfitting.
Are there any downsides to flattening?
Yes, while it can speed up training, it may also lead to loss of important features and reduce the model's ability to generalize.
How can I determine if flattening is right for my model?
You should evaluate your model's performance metrics before and after flattening to see if it improves accuracy and efficiency.
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