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HIV transactivator of transcription (Tat) protein could interact with amyloid β (Aβ) peptide which cause the growth of Aβ plaques in the brain and result in Alzheimer's disease in HIV‐infected patients. Herein, we employ high‐resolution atomic force microscopy and quantitative nanomechanical mapping to investigate the effects of Tat protein in Aβ peptide aggregation. Our results demonstrate that the...
Deep learning algorithm has been widely used in many area which is one of the most important representation learning algorithms in machine learning tasks. Deep learning network is stacked by the building blocks such as the restricted Boltzmann machine(RBM) and the auto-encoder, convolutional building block. After stacking the building blocks layers and layers, the improvement of the deep learning...
Deep learning increasingly attracted attention after the fast training method of Restricted Boltzmann Machine(RBM) isproposed[1]. Many researches directly constructed deep architecture with stack RBMs to learn the representation of the data, few studied the optimization method to get good RBM parameters. Here proposes a new optimization method for real-valued RBM by minimizing the reconstructed error...
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