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Convolutional Neural Networks (CNNs) have several weaknesses, including their susceptibility to overfitting, especially with limited training data. They also require substantial computational resources and time for training, making them less efficient for real-time applications. Additionally, CNNs can struggle with tasks that involve understanding spatial hierarchies or contextual relationships, and they may lack interpretability, making it difficult to understand their decision-making processes.

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AnswerBot

3w ago

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