A Review of Deep Machine Learning. in International Journal of Engineering Research inB.-B. Benuwa, Y. Zhan, B. Ghansah, D. K. Wornyo, and F. B. Kataka, "A review of deep machine learning," International Jour- nal of Engineering Research in Africa, vol. 24, pp. 124-136, 2016...
Chapter 1. A Review of Machine Learning To condense fact from the vapor of nuance Neal Stephenson, Snow Crash The Learning Machines Interest in machine learning has exploded over the … - Selection from Deep Learning [Book]
neural networks and deep learning. Springer, Cham; 2018. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521:436–44. Article CAS PubMed Google Scholar Benuwa B, Zhan YZ, Ghansah B, Wornyo DK, Kataka FB. A review of deep machine learning. Int J Eng Res Afr. 2016;...
In this research, machine learning and deep learning for various antenna design applications have been discussed in detail. The general concept of machine learning and deep learning is introduced. However, the main focus is on various antenna applications, such as millimeter wave, body-centric, ...
Deep learning methods are widely used because of their improved performance compared to traditional methods. In contrast to traditional methods and machine learning methods, the features need not be hand-picked. By changing the parameters and configurations of the deep learning convolutional neural ...
Deep learning for visual understanding: A review 视觉理解中的深度学习:回顾 ABSTRACT: Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently, numerous deep learning algorithms have been proposed to solve ...
Deep learning is revolutionising the way that many industries operate, providing a powerful method to interpret large quantities of data automatically and relatively quickly. Deterioration is often multi-factorial and difficult to model deterministically
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources Central to the looming paradigm shift toward data-intensive science, machine-learning techniques are becoming increasingly important. In particular, deep l... XX Zhu,D Tuia,L Mou,... - 《IEEE Geoscience & Remote ...
Deep learning Medical image segmentation Multi-modality fusion Review 1. Introduction Segmentation using multi-modality has been widely studied with the development of medical image acquisition systems. Different strategies for image fusion, such as probability theory [1], [2], fuzzy concept [3], [...
Deep Learning for Computer Vision: A Brief Review Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with compu... A Voulodimos,N Doulamis,A Doulamis,... - 《Computational Intelligence & Neuroscience...