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Multi-faceted Deep Learning: Models and Data

Posted By: AvaxGenius
Multi-faceted Deep Learning: Models and Data

Multi-faceted Deep Learning: Models and Data by Jenny Benois-Pineau
English | PDF,EPUB | 2021 | 321 Pages | ISBN : 3030744779 | 27.7 MB

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented chapters.

Python for Data Analysis: Master Deep Learning with Python Language and Become Great at Programming Pytho

Posted By: Free butterfly
Python for Data Analysis: Master Deep Learning with Python Language and Become Great at Programming Pytho

Python for Data Analysis: Master Deep Learning with Python Language and Become Great at Programming Python for Beginners with Hands-on Project (Data Science) by Jason Scratch
English | February 14, 2021 | ISBN: 1914183274 | 142 pages | EPUB | 0.19 Mb

Deep learning :End to End Object Detection Masters

Posted By: ELK1nG
Deep learning :End to End Object Detection Masters

Deep learning :End to End Object Detection Masters
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 106 lectures (9h 24m) | Size: 8 GB

Become an Object Detection Guru. Build Object Detection model using Deep Learning with Tensorflow, Detectron2 and YoloV5

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

Posted By: AvaxGenius
Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications by Haruna Chiroma
English | PDF,EPUB | 2021 | 315 Pages | ISBN : 303066287X | 36 MB

This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as:

Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots

Posted By: Underaglassmoon
Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots

Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots
Morgan & Claypool | English | 2021 | ISBN-10: 1636390315 | 251 pages | PDF | 9.30 MB

by Michael McTear (Author)
This book provides a comprehensive introduction to Conversational AI

Malware Analysis Using Artificial Intelligence and Deep Learning

Posted By: AvaxGenius
Malware Analysis Using Artificial Intelligence and Deep Learning

Malware Analysis Using Artificial Intelligence and Deep Learning by Mark Stamp
English | PDF | 2021 | 655 Pages | ISBN : 3030625818 | 22.5 MB

​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed.

Stereoscopic Image Quality Assessment

Posted By: AvaxGenius
Stereoscopic Image Quality Assessment

Stereoscopic Image Quality Assessment by Yong Ding
English | PDF,EPUB | 2020 | 174 Pages | ISBN : 9811577633 | 23 MB

This book provides a comprehensive review of all aspects relating to visual quality assessment for stereoscopic images, including statistical mathematics, stereo vision and deep learning. It covers the fundamentals of stereoscopic image quality assessment (SIQA), the relevant engineering problems and research significance, and also offers an overview of the significant advances in visual quality assessment for stereoscopic images, discussing and analyzing the current state-of-the-art in SIQA algorithms, the latest challenges and research directions as well as novel models and paradigms.

Signal Processing Techniques for Computational Health Informatics

Posted By: AvaxGenius
Signal Processing Techniques for Computational Health Informatics

Signal Processing Techniques for Computational Health Informatics by Md Atiqur Rahman Ahad
English | PDF | 2021 | 347 Pages | ISBN : 3030549313 | 10.6 MB

This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time–frequency and complexity domain, and image processing techniques in different image modalities.

Data Orchestration in Deep Learning Accelerators

Posted By: Underaglassmoon
Data Orchestration in Deep Learning Accelerators

Data Orchestration in Deep Learning Accelerators
Morgan & Claypool | English | 2020 | ISBN-10: 1681738694 | 164 pages | PDF | 12.74 MB

by Tushar Krishna (Author), Hyoukjun Kwon (Author), Angshuman Parashar (Author), Michael Pellauer (Author), Ananda Samajdar (Author)
This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators

Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm: Trends, Advances, and Future Prospects

Posted By: AvaxGenius
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm: Trends, Advances, and Future Prospects

Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm: Trends, Advances, and Future Prospects by Pawel Sniatala
English | EPUB | 2020 | 207 Pages | ISBN : 3030331318 | 15 MB

This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine Agreement and sensor fusion in building a fault-tolerant distributed sensor network. The authors analyze its long-term impacts, advances, and future prospects.

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

Posted By: hill0
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
by Jon Krohn

English | 2019 | ISBN: 0135116694 | 491 Pages | PDF True | 9 MB

Machine Learning and Information Processing: Proceedings of ICMLIP 2019

Posted By: AvaxGenius
Machine Learning and Information Processing: Proceedings of ICMLIP 2019

Machine Learning and Information Processing: Proceedings of ICMLIP 2019 by Debabala Swain
English | PDF,EPUB | 2020 | 533 Pages | ISBN : 9811518831 | 84 MB

This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.