Progressive review towards deep learning techniques

P Chaudhari, H Agarwal - Proceedings of the International Conference on …, 2017 - Springer
Deep learning is a thing of tomorrow which is causing a complete drift from shallow
architecture to deep architecture and an estimate shows that by 2017 about 10% of …

[PDF][PDF] Multi-class classification of gene expression data using deep learning for cancer prediction

S Hamena, S Meshoul - Int J Mach Learn Comput, 2018 - ijml.org
Deep Learning is a machine learning model that has shown superior performance for a wide
range of application. Deep learning has revived the old domain of artificial neural networks …

[PDF][PDF] Genes expression classification using improved deep learning method

R Nair, A Bhagat - International Journal on Emerging Technologies, 2019 - academia.edu
In the last few years, there is tremendous research in the area of genes expression. So many
classification algorithms had been implemented for classifying the thousands of expression …

Deep Learning for Bioinformatics

TA Teli, R Yousuf - Applications of Machine Learning and Deep …, 2023 - taylorfrancis.com
Deep learning is a subset of machine learning that has revolutionized the big data industry
as it helps to find patterns, extract features and other useful information from complex and …

A survey on gene expression data analysis using deep learning methods for cancer diagnosis

U Ravindran, C Gunavathi - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
Abstract Gene Expression Data is the biological data to extract meaningful hidden
information from the gene dataset. This gene information is used for disease diagnosis …

Editorial of special issue “deep learning and machine learning in bioinformatics”

M Kang, JH Oh - International Journal of Molecular Sciences, 2022 - mdpi.com
In recent years, deep learning has emerged as a highly active research field, achieving
great success in various machine learning areas, including image processing, speech …

[PDF][PDF] A Survey on deep learning its architecture and various applications

P Chandra - Asia Pac. J. Neural Netw. Appl., 2017 - scholar.archive.org
Deep learning is just a function that we recently learn how to feeded to data without over
fitting. Deep learning is set of algorithms that are achieving things that pretty much no …

Understanding Deep Learning: Case Study Based Approach

M Galphade, N More, VB Nikam, B Banerjee… - Deep Learning and …, 2021 - Springer
Deep learning is a much focused domain of artificial neural networks. Deep learning
algorithms try to learn massive amounts of unlabelled data and make a better analysis. With …

[图书][B] Deep learning in bioinformatics: techniques and applications in practice

H Izadkhah - 2022 - books.google.com
Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the
topic in an easy-to-understand way, exploring how it can be utilized for addressing important …

Deep learning techniques: an overview

A Mathew, P Amudha, S Sivakumari - Advanced Machine Learning …, 2021 - Springer
Deep learning is a class of machine learning which performs much better on unstructured
data. Deep learning techniques are outperforming current machine learning techniques. It …