Subcategories

PyTorch Essential Training: Deep Learning

Posted By: IrGens
PyTorch Essential Training: Deep Learning

PyTorch Essential Training: Deep Learning
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 56m | 128 MB
Instructor: Jonathan Fernandes

Statistics for Machine Learning

Posted By: First1
Statistics for Machine Learning

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R by Pratap Dangeti
English | August 8th, 2017 | ISBN: 1788295757 | 444 pages | EPUB | 13.11 MB

Build Machine Learning models with a sound statistical understanding.

Therapy and the Neural Network Model

Posted By: AvaxGenius
Therapy and the Neural Network Model

Therapy and the Neural Network Model by Theodore Wasserman
English | PDF,EPUB | 2019 | 210 Pages | ISBN : 3030269205 | 13.33 MB

This innovative work explores integrating emerging research into how the brain processes information in applied therapeutic interventions. Typically, clinicians select therapeutic interventions based on their own training, personal experience or preference. This book aims to provide a new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why to apply therapeutic interventions to impact the systems which are maintaining them.

Applications of Pulse-Coupled Neural Networks

Posted By: AvaxGenius
Applications of Pulse-Coupled Neural Networks

Applications of Pulse-Coupled Neural Networks by Yide Ma
English | PDF | 2010 | 206 Pages | ISBN : 364213744X | 6.88 MB

"Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Posted By: AvaxGenius
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings by Dajiang Zhu
English | PDF | 2019 | 241 Pages | ISBN : N/A | 34.63 MB

This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

Posted By: AvaxGenius
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging: Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings by Luping Zhou
English | PDF | 2019 | 124 Pages | ISBN : N/A | 14.17 MB

This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

The Math of Neural Networks

Posted By: hill0
The Math of Neural Networks

The Math of Neural Networks
by Michael Taylor

English | 2017 | ISBN: 1549893645 | 167 Pages | EPUB | 7 MB

Statistical and Neural Classifiers: An Integrated Approach to Design

Posted By: AvaxGenius
Statistical and Neural Classifiers: An Integrated Approach to Design

Statistical and Neural Classifiers: An Integrated Approach to Design by Šarūnas Raudys
English | PDF,EPUB | 2001 | 309 Pages | ISBN : 1852332972 | 45.41 MB

Automatic (machine) recognition, description, classification, and groupings of patterns are important problems in a variety of engineering and scientific disciplines such as biology, psychology, medicine, marketing, computer vision, artificial intelligence, and remote sensing.

Deep Learning for Natural Language Processing

Posted By: First1
Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing by Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain, Monicah Wambugu
English | June 11th, 2019 | ISBN: 1838550291 | 372 pages | EPUB (True/Retail Copy) | 17.31 MB

Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues.

Analytical Network and System Administration: Managing Human-Computer Networks

Posted By: AvaxGenius
Analytical Network and System Administration: Managing Human-Computer Networks

Analytical Network and System Administration: Managing Human-Computer Networks by Mark Burgess
English | PDF | 2004 | 368 Pages | ISBN : 0470861002 | 2.3 MB

Network and system administration usually refers to the skill of keeping computers and networks running properly. But in truth, the skill needed is that of managing complexity. This book describes the science behind these complex systems, independent of the actual operating systems they work on.

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

Posted By: First1
Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications by Ian Pointer
English | September 20th, 2019 | ISBN: 1492045357 | 220 pages | EPUB | 9.67 MB

Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.

Type-2 Fuzzy Neural Networks and Their Applications

Posted By: DZ123
Type-2 Fuzzy Neural Networks and Their Applications

Rafik Aziz Aliev, Babek Ghalib Guirimov, "Type-2 Fuzzy Neural Networks and Their Applications"
English | 2014 | ISBN: 3319090712 | PDF | pages: 203 | 6.0 mb

Predicting the Lineage Choice of Hematopoietic Stem Cells [Repost]

Posted By: tanas.olesya
Predicting the Lineage Choice of Hematopoietic Stem Cells [Repost]

Predicting the Lineage Choice of Hematopoietic Stem Cells: A Novel Approach Using Deep Neural Networks (BestMasters) by Manuel Kroiss
ISBN: 365812878X | 84 pages | PDF | May 13, 2016 | English | 1.94 Mb

Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics

Posted By: DZ123
Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics

Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov, "Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics"
English | 2014 | ISBN: 3319099027 | PDF | pages: 487 | 19.4 mb

Computational Mind: A Complex Dynamics Perspective

Posted By: AvaxGenius
Computational Mind: A Complex Dynamics Perspective

Computational Mind: A Complex Dynamics Perspective by Vladimir G. Ivancevic
English | PDF | 2007 | 698 Pages | ISBN : 3540714650 | 13.41 MB

Computational Mind: A Complex Dynamics Perspective is a graduate–level monographic textbook in the field of Computational Intelligence. It presents a modern dynamical theory of the computational mind, combining cognitive psychology, artificial and computational intelligence, and chaos theory with quantum consciousness and computation.