Singh K. Deep Learning in Visual Computing and Signal Processing 2022 torrent

Textbook in PDF format

An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing.
The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more.
Contributors
Abbreviations
Preface
Deep Learning Architecture and Framework
Deep Learning in Neural Networks: An Overview
Deep Learning: Current Trends and Techniques
TensorFlow: Machine Learning Using Heterogeneous Edge on Distributed Systems
Introduction to Biorobotics: Part of Biomedical Signal Processing
Deep Learning-Based Object Recognition and Detection Model
Deep Learning: A Pathway for Automated Brain Tumor Segmentation in MRI Images
Recurrent Neural Networks and Their Application in Seizure Classification
Brain Tumor Classification Using Convolutional Neural Network
A Proactive Improvement Toward Digital Forensic Investigation Based on Deep Learning
Index