Saurav Biswas

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In recent years, deep neural networks have led to considerable advances in the performance of neural network architectures. However, deep architectures tend to have a large numbers of parameters, leading to long training times and the need for huge amounts of training data and regularization. In addition, biological neural networks make extensive use of(More)
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