What are some advantages and limitations of using deep learning techniques in Machine Learning?
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One advantage of deep learning is its ability to automatically learn hierarchical representations of data, which can lead to more accurate predictions and better performance on complex tasks. However, a limitation is that deep learning models often require a large amount of labeled data for training, making them less suitable for scenarios with limited data availability. Additionally, deep learning models can be computationally expensive to train and may require powerful hardware or distributed computing resources.
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