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Limitations of deep learning and its role in building intelligent systems
The biggest limitation of deep learning is the need for a large amount of labeled data. Other learning algorithms require a lot of unlabeled data or experiences. Generalization ability is a major bottleneck in technology today. Deep learning is just a component of a larger intelligence system. It is used as a sub-module along with other components in building a function estimator.