as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
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list the challenges of deep learning.
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the challenges of deep learning include the following:

1. data processing: the need to process large amounts of data in order to accurately train deep learning models.
2. model capacity: limited computing resources that can lead to models with limited model capacity.
3. interpretability: deep models may produce results that are hard to interpret and explain.
4. overfitting: deep learning models may succumb to overfitting due to large datasets and complex structures.
5. computational costs: deep learning models require extensive computational resources that are often costly.
6. limited generalization ability: while deep models can achieve impressive results on specific tasks, they may lack the generalization ability to adapt to new tasks.
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