| 書目名稱 | Deep Learning Applications, Volume 3 | | 編輯 | M. Arif Wani,Bhiksha Raj,Dejing Dou | | 視頻video | http://file.papertrans.cn/265/264568/264568.mp4 | | 概述 | Describes novel ways of using deep learning architectures for real-world applications.Presents results of using deep learning models for selected applications.Provides a copy of software/code and test | | 叢書名稱 | Advances in Intelligent Systems and Computing | | 圖書封面 |  | | 描述 | .This book presents a compilation of extended version of selected papers from the 19th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2020) and focuses on deep learning networks in applications such as pneumonia detection in chest X-ray images, object detection and classification, RGB and depth image fusion, NLP tasks, dimensionality estimation, time series forecasting, building electric power grid for controllable energy resources, guiding charities in maximizing donations, and robotic control in industrial environments. Novel ways of using convolutional neural networks, recurrent neural network, autoencoder, deep evidential active learning, deep rapid class augmentation techniques, BERT models, multi-task learning networks, model compression and acceleration techniques, and conditional Feature Augmented and Transformed GAN (cFAT-GAN) ?for the above applications are covered in this book. Readers will find insights to help them realize novel waysof using deep learning architectures and algorithms in real-world applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the ind | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Deep Learning Architectures; Deep Learning Algorithms; Deep Learning Models; Convolutional Neural Netwo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-3357-7 | | isbn_softcover | 978-981-16-3356-0 | | isbn_ebook | 978-981-16-3357-7Series ISSN 2194-5357 Series E-ISSN 2194-5365 | | issn_series | 2194-5357 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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書目名稱Deep Learning Applications, Volume 3影響因子(影響力)
書目名稱Deep Learning Applications, Volume 3影響因子(影響力)學(xué)科排名
書目名稱Deep Learning Applications, Volume 3網(wǎng)絡(luò)公開度
書目名稱Deep Learning Applications, Volume 3網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Deep Learning Applications, Volume 3被引頻次
書目名稱Deep Learning Applications, Volume 3被引頻次學(xué)科排名
書目名稱Deep Learning Applications, Volume 3年度引用
書目名稱Deep Learning Applications, Volume 3年度引用學(xué)科排名
書目名稱Deep Learning Applications, Volume 3讀者反饋
書目名稱Deep Learning Applications, Volume 3讀者反饋學(xué)科排名
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