UID:
almahu_9949420028702882
Format:
1 online resource.
Edition:
First edition.
ISBN:
9781003277224
,
1003277225
,
9781000565232
,
1000565238
,
9781000564884
,
1000564886
Content:
"This new volume, Deep Learning in Visual Computing and Signal Processing, 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. Key features: Covers both the fundamentals and the latest concepts in deep learning; presents some of the diverse applications of deep learning in visual computing and signal processing; includes over 90 figures and tables to elucidate the text. An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this valuable resource will serve as a guide for researchers, engineers, and students who want to have a quick start on learning and/or building deep learning systems. It provides a good theoretical and practical understanding and complete information and knowledge required to understand and build deep learning models from scratch."--
Note:
Deep Learning Architecture and Framework / Ashish Tripathi, Shraddha Upadhaya, Arun Kumar Singh, Krishna Kant Singh, Arush Jain, Pushpa Choudhary, and Prem Chand Vashist -- Deep Learning in Neural Networks: An Overview / Vidit Shukla and Shilpa Choudhary -- Deep Learning: Current Trends and Techniques / Bharti Sharma, Arun Balodi, Utku Kose, and Akansha Singh -- Tensor Flow: Machine Learning Using Heterogeneous Edge on Distributed Systems / R. Ganesh Babu, A. Nedumaran, G. Manikandan, and R. Selvameena -- Introduction to Biorobotics: Part of Biomedical Signal Processing / Kashish Srivastava and Shilpa Choudhary -- Deep Learning-Based Object Recognition and Detection Model / Aman Jatain, Khushboo Tripathi, and Shalini Bhaskar Bajaj -- Deep Learning: A Pathway for Automated Brain Tumor Segmentation in MRI Images / Roohi Sille, Piyush Chauhan, and Durgansh Sharma -- Recurrent Neural Networks and Their Application inSeizure Classification / Kusumika Krori Dutta, Poornima Sridharan, and Sunny Arokia Swamy Bellary -- Brain Tumor Classification Using Convolutional Neural Network / M. Jayashree, S. Poornima, V. Megala, and R. K. Pongiannan -- A Proactive Improvement Toward Digital Forensic Investigation Based on Deep Learning / Vidushi, Akash Rajak, Ajay Kumar Shrivastava, and Arun Kumar Tripathi.
Additional Edition:
Print version: Deep learning in visual computing and signal processing. Palm Bay, FL, USA ; Burlington, ON, Canada : Apple Academic Press ; Boca Raton, FL, USA ; Abingdon, Oxon, UK : CRC Press, 2023 ISBN 1774638703
Additional Edition:
ISBN 9781774638705
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9781003277224
URL:
https://www.taylorfrancis.com/books/9781003277224
Bookmarklink
