Subcategories

Neural Networks and Statistical Learning (Repost)

Posted By: DZ123
Neural Networks and Statistical Learning (Repost)

Ke-Lin Du, M. N. S. Swamy, "Neural Networks and Statistical Learning"
English | 2013 | ISBN: 144715570X | PDF | pages: 834 | 13.1 mb

Neuroengineering The Future

Posted By: AlexGolova
Neuroengineering The Future

Neuroengineering The Future by Bruce F. Katz
English | 2010 | ISBN: 9380298315 | 400 pages | PDF | 5.15 MB

Multiscale Forecasting Models (Repost)

Posted By: AvaxGenius
Multiscale Forecasting Models (Repost)

Multiscale Forecasting Models by Lida Mercedes Barba Maggi
English | PDF,EPUB | 2018 | 141 Pages | ISBN : 3319949918 | 35.57 MB

This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies. The methods are based on Singular Value Decomposition (SVD) of a Hankel matrix (HSVD). The proposed decomposition is used to improve the accuracy of linear and nonlinear auto-regressive models.

Hands-On Deep Learning with Go

Posted By: First1
Hands-On Deep Learning with Go

Hands-On Deep Learning with Go by Gareth Seneque, Darrell Chua
English | August 8th, 2019 | ISBN: 1789340993 | 242 pages | EPUB | 4.26 MB

Apply modern deep learning techniques to build and train deep neural networks using Gorgonia

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

Posted By: AvaxGenius
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions

Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings by Igor V. Tetko
English | PDF | 2019 | 872 Pages | ISBN : 3030304922 | 90.86 MB

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Neural Engineering: From Advanced Biomaterials to 3D Fabrication Techniques [Repost]

Posted By: tanas.olesya
Neural Engineering: From Advanced Biomaterials to 3D Fabrication Techniques [Repost]

Neural Engineering: From Advanced Biomaterials to 3D Fabrication Techniques by Lijie Grace Zhang, David L. Kaplan
English | June 30, 2016 | ISBN: 3319314319 | 306 pages | PDF | 8.74 Mb

Signal Processing and Machine Learning for Brain-Machine Interfaces (Repost)

Posted By: AvaxGenius
Signal Processing and Machine Learning for Brain-Machine Interfaces (Repost)

Signal Processing and Machine Learning for Brain-Machine Interfaces by Toshihisa Tanaka; Mahnaz Arvaneh
English | PDF | 2018 | 356 Pages | ISBN : 1785613987 | 9.63 MB

Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions. In this book an international panel of experts introduce signal processing and machine learning techniques for BMI/BCI and outline their practical and future applications in neuroscience, medicine, and rehabilitation, with a focus on EEG-based BMI/BCI methods and technologies.

Advanced Machine Learning with R

Posted By: First1
Advanced Machine Learning with R

Advanced Machine Learning with R by Cory Lesmeister, Sunil Kumar Chinnamgari
English | May 20th, 2019 | ISBN: 1838641777 | 664 pages | EPUB | 14.70 MB

Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languages

Python Deep Learning Projects

Posted By: readerXXI
Python Deep Learning Projects

Python Deep Learning Projects
by Matthew Lamons, Rahul Kumar
English | 2018 | ISBN: 1788997093 | 466 Pages | True PDF | 45 MB

Python Machine Learning By Example, Second Edition

Posted By: readerXXI
Python Machine Learning By Example, Second Edition

Python Machine Learning By Example, Second Edition
by Yuxi (Hayden) Liu
English | 2019 | ISBN: 1789616727 | 371 Pages | True PDF | 18.8 MB

Hands-On Deep Learning for Games

Posted By: readerXXI
Hands-On Deep Learning for Games

Hands-On Deep Learning for Games
by Micheal Lanham
English | 2019 | ISBN: 1788994078 | 380 Pages | True PDF | 21 MB

Hands-On Transfer Learning with Python

Posted By: readerXXI
Hands-On Transfer Learning with Python

Hands-On Transfer Learning with Python
by Dipanjan Sarkar, Raghav Bali
English | 2018 | ISBN: 1788831306 | 431 Pages | True PDF | 43 MB

Deep Learning with TensorFlow, Second Edition

Posted By: readerXXI
Deep Learning with TensorFlow, Second Edition

Deep Learning with TensorFlow, Second Edition
by Giancarlo Zaccone and Md. Rezaul Karim
English | 2018 | ISBN: 1788831101 | 484 Pages | True PDF | 7.63 MB

Multilayer Networks: Structure and Function

Posted By: hill0
Multilayer Networks: Structure and Function

Multilayer Networks: Structure and Function
by Ginestra Bianconi

English | 2018 | ISBN: 0198753918 | 417 Pages | PDF | 41 MB

Composite Materials Technology: Neural Network Applications (Repost)

Posted By: step778
Composite Materials Technology: Neural Network Applications (Repost)

S.M. Sapuan, Iqbal Mohammed Mujtaba, "Composite Materials Technology: Neural Network Applications"
2009 | pages: 372 | ISBN: 1420093320 | PDF | 9,5 mb