Debi Prasanna Acharjya & Anirban Mitra 
Deep Learning in Data Analytics [PDF ebook] 
Recent Techniques, Practices and Applications

Ủng hộ

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book’s material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society.

Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.

€171.19
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Mục lục

Study on Discrete Action Sequences using Deep Emotional Intelligence.- A Novel Noise Removal Technique Influenced by Deep Convolutional Autoencoders on Mammograms.- A High Security Framework through Human Brain using Algo Mixture Model Deep Learning Algorithm.- Knowledge Framework for Deep Learning: Congenital Heart Disease.- Computing System and Machine Learning.- Automatic Image Segmentation by Ranking based SVM in Convolutional Neural Network on Diabetic Fundus Image.

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Ngôn ngữ Anh ● định dạng PDF ● Trang 266 ● ISBN 9783030758554 ● Kích thước tập tin 8.1 MB ● Biên tập viên Debi Prasanna Acharjya & Anirban Mitra ● Nhà xuất bản Springer International Publishing ● Thành phố Cham ● Quốc gia CH ● Được phát hành 2021 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 7911498 ● Sao chép bảo vệ DRM xã hội

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