Electronics, Free Full-Text

Por um escritor misterioso
Last updated 19 março 2025
Electronics, Free Full-Text
In recent years, deep learning has garnered tremendous success in a variety of application domains. This new field of machine learning has been growing rapidly and has been applied to most traditional application domains, as well as some new areas that present more opportunities. Different methods have been proposed based on different categories of learning, including supervised, semi-supervised, and un-supervised learning. Experimental results show state-of-the-art performance using deep learning when compared to traditional machine learning approaches in the fields of image processing, computer vision, speech recognition, machine translation, art, medical imaging, medical information processing, robotics and control, bioinformatics, natural language processing, cybersecurity, and many others. This survey presents a brief survey on the advances that have occurred in the area of Deep Learning (DL), starting with the Deep Neural Network (DNN). The survey goes on to cover Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU), Auto-Encoder (AE), Deep Belief Network (DBN), Generative Adversarial Network (GAN), and Deep Reinforcement Learning (DRL). Additionally, we have discussed recent developments, such as advanced variant DL techniques based on these DL approaches. This work considers most of the papers published after 2012 from when the history of deep learning began. Furthermore, DL approaches that have been explored and evaluated in different application domains are also included in this survey. We also included recently developed frameworks, SDKs, and benchmark datasets that are used for implementing and evaluating deep learning approaches. There are some surveys that have been published on DL using neural networks and a survey on Reinforcement Learning (RL). However, those papers have not discussed individual advanced techniques for training large-scale deep learning models and the recently developed method of generative models.
Electronics, Free Full-Text
Popular Electronics Electronic Experimenter's Handbook 1981 : Ziff-Davis Publishing : Free Download, Borrow, and Streaming : Internet Archive
Electronics, Free Full-Text
EFY's Electronics Design Community
Electronics, Free Full-Text
Electronic Recycle Event — Town of Marana
Electronics, Free Full-Text
Industrial Electronics By Gk Mithal Free - Colaboratory
Electronics, Free Full-Text
Electronics - Free Books at EBD
Electronics, Free Full-Text
Page 4 Laptop Computer With Full Battery Images - Free Download on Freepik
Electronics, Free Full-Text
Shopping cart full of electronics Royalty Free Vector Image
Electronics, Free Full-Text
13 Free Electronics Ebooks
Electronics, Free Full-Text
FREE : Electronics Worksheet Sample
Electronics, Free Full-Text
Sefram - Metrix Electronics Ltd
Electronics, Free Full-Text
5. Half Wave Controlled Rectifier (with Free Wheeling Diode) II Power Electronics II

© 2014-2025 startwindsor.com. All rights reserved.