DNN

DNN stands for Deep Neural Network, which is a type of artificial neural network that has multiple hidden layers between the input and output layers. DNNs are capable of learning complex representations of data and have been successful in a wide range of applications, including image and speech recognition, natural language processing, and game playing. The training of DNNs typically involves the use of backpropagation, a gradient-based optimization algorithm that adjusts the weights of the network to minimize a loss function. DNNs have been shown to outperform traditional machine learning algorithms in many tasks, but their training can be computationally expensive and requires large amounts of data.
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