Affiliation:
1. Santhigiri College of Computer Sciences, Thodupuzha
Abstract
For the last few decades, the deep learning (DL) computing paradigm has been held to be the benchmark in the machine learning (ML) community. As well, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex cognitive tasks, matching or even beating those provided by human performance. One of the benefits of DL is the ability to learn massive amounts of data. The DL field has grown fast in the last few years and it has been extensively used to successfully address a wide range of traditional applications. This review paper represents the major concepts in deep learning and the use of the neural network, the major applications of deep learning such as in object detection, visual object recognition, speech recognition, face recognition, vision for driverless cars, virtual assistants, and many other fields such as genomics and drug discovery. Finally, this paper also showcases the current developments and challenges in deep neural networks training.
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