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A Study On Deep Learning For Bioinformatics: Panchami - VU, Dr. Hariharan.N, Dr. Manish - TI PDF

5 Pages·2018·English
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by ['Rahul Sharma']| 2018| 5 pages| English

About A Study On Deep Learning For Bioinformatics: Panchami - VU, Dr. Hariharan.N, Dr. Manish - TI

This document discusses deep learning architectures and their applications in bioinformatics. It analyzes perceptrons, autoencoders, recurrent neural networks, restricted Boltzmann machines, convolutional neural networks, and deep belief networks. The key challenges of deep learning discussed are overfitting due to large networks, vanishing gradients during training, and requiring large labeled datasets. Deep learning has been successfully applied to areas like genomics, proteomics, and analyzing microarray data.

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Author:['Rahul Sharma']
Publication Year:2018
Pages:5
Language:English
Format:PDF
Price:FREE
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