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Do you think that deep network is better than a shallow one?
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Answer Posted / Uzma Naz
Deep networks, which consist of multiple hidden layers, can learn more complex patterns and relationships compared to shallow networks with fewer layers. Deep networks have achieved superior performance in many tasks such as image recognition, speech recognition, and natural language processing. However, deep networks are more prone to overfitting and require larger amounts of data and computational resources. The choice between a deep network and a shallow one depends on the complexity of the task and the available data.
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