Convolutional Neural Networks

Deep Learning and Convolutional Neural Networks for Medical Image Computing  eBooks & eLearning

Posted by ksveta6 at Aug. 11, 2017
Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition) by Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
2017 | ISBN: 3319429981 | English | 326 pages | PDF | 14 MB

Understanding Convolutional Neural Networks (CNNs)  eBooks & eLearning

Posted by naag at Aug. 8, 2017
Understanding Convolutional Neural Networks (CNNs)

Understanding Convolutional Neural Networks (CNNs)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 48M | 964 MB
Genre: eLearning | Language: English
Convolutional Neural Networks in Python: Introduction to Convolutional Neural Networks

Convolutional Neural Networks in Python: Introduction to Convolutional Neural Networks
English | 2017 | ISBN-10: 1973908786 | 82 pages | AZW3 | 0.2 Mb

Convolutional Neural Networks in Python

Deep Learning and Convolutional Neural Networks for Medical Image Computing  eBooks & eLearning

Posted by AvaxGenius at July 15, 2017
Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets By Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
English | PDF | 2017 | 327 Pages | ISBN : 3319429981 | 13.71 MB

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples.
Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification

Hamed Habibi Aghdam, "Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification"
English | ISBN: 331957549X | 2017 | 282 pages | PDF | 14 MB

Convolutional Neural Networks in Python  eBooks & eLearning

Posted by arundhati at July 7, 2016
Convolutional Neural Networks in Python

LazyProgrammer, "Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow"
2016 | ASIN: B01FQDREOK | 52 pages | EPUB | 1 MB

Deep Learning A-Z™: Hands-On Artificial Neural Networks (2017)  eBooks & eLearning

Posted by ParRus at July 26, 2017
Deep Learning A-Z™: Hands-On Artificial Neural Networks (2017)

Deep Learning A-Z™: Hands-On Artificial Neural Networks (2017)
WEBRip | English | MP4 | 1280 x 720 | AVC ~48 kbps | 30 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | 21:52:04 | 3.15 GB
Genre: eLearning Video / Development, Programming

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts.
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence by Phil Kim
English | 15 Jun. 2017 | ISBN: 1484228448 | 172 Pages | EPUB | 1.91 MB

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks.
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence

Phil Kim, "MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence"
English | ISBN: 1484228448 | 2017 | 151 pages | PDF | 4 MB

NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION  eBooks & eLearning

Posted by naag at April 9, 2017
NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION

NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION
2017 | English | ISBN-10: 1543008569 | 234 pages | EPUB (conv) | 2.44 Mb