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This paper introduced a novel and productive way of training incredibly deep neural networks by pre-instruction a single hidden layer at any given time utilizing the unsupervised learning technique for restricted Boltzmann equipment.The unsupervised generative versions with significant representations are employed to reinforce the discriminative mo