Palash Goyal

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We present a parallel approach to classification using neural networks as the hypothesis class. Neural networks can have millions of parameters and learning the optimum value of all parameters from huge datasets in a serial implementation can be a very time consuming task. In this work, we have implemented parallel gradient descent to train multilayer(More)
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