What are the limits of LSTM in image processing?
An example of an AI chatbot conversation about LSTM's limitations in image processing.
What are the limits of LSTM in image processing?
LSTMs are great for sequential data but struggle with high-dimensional image data due to their architecture.
Can LSTMs handle spatial information in images?
Not effectively. LSTMs are designed for temporal sequences, while CNNs are better for spatial features.
What alternatives are there for image processing?
Convolutional Neural Networks (CNNs) are the primary alternative, as they excel in capturing spatial hierarchies.
Are there any hybrid models that use both LSTM and CNN?
Yes, hybrid models combine CNNs for feature extraction and LSTMs for sequence prediction, useful in video analysis.
What are the practical applications of these hybrid models?
They are used in video classification, action recognition, and even in generating image captions.
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