Deep Learning Applications by Sanjiban Sekhar Roy (.PDF)
File Size: 7 MB
Deep Learning Applications in Image Analysis (Studies in Big Data, 129) 1st ed. 2023 Edition by Sanjiban Sekhar Roy (Editor), Ching-Hsien Hsu (Editor), Venkateshwara Kagita (Editor)
Requirements: .PDF reader, 7 MB
Overview: This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, developing a vehicle over speed detection system, creating an intelligent system for video-based proximity analysis, building a melanoma cancer detection system using deep learning, plant diseases classification using AlexNet, dealing with hyperspectral images using deep learning, chest x-ray image classification of pneumonia disease using efficient net and inceptionv3.
Genre: Non-Fiction > Tech & Devices
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