What are the best practices for using LSTM in image processing?
When using LSTM for image processing, it's crucial to preprocess your images properly, ensure your data is well-structured, and consider using techniques like data augmentation.
How should I preprocess my images for LSTM?
You should resize images to a consistent size, normalize pixel values, and convert them into sequences that LSTM can process effectively.
What kind of data augmentation techniques can I use?
Common techniques include rotation, flipping, scaling, and adding noise to your images to improve model robustness.
How do I structure my data for LSTM?
Structure your data into sequences, where each sequence represents a series of frames or images, ensuring that the input shape matches the LSTM requirements.
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