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Category: E-Book
Submodular Rate Region Models for Multicast Communication in Wireless Networks

Submodular Rate Region Models for Multicast Communication in Wireless Networks By Maximilian Riemensberger
English | PDF | 2017 (2018 Edition) | 300 Pages | ISBN : 3319652311 | 5.51 MB
‚ÄčThis book proposes representations of multicast rate regions in wireless networks based on the mathematical concept of submodular functions, e.g., the submodular cut model and the polymatroid broadcast model. These models subsume and generalize the graph and hypergraph models. The submodular structure facilitates a dual decomposition approach to network utility maximization problems, which exploits the greedy algorithm for linear programming on submodular polyhedra.
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Category: Tutorial

Multilayer Neural Networks

Multilayer Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 291 MB
Genre: eLearning | Language: English

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Category: E-Book
Connecting Networks v6 Companion Guide

English | 11 Sept. 2017 | ISBN: 1587134322 | ASIN: B075KH5J6R | 512 Pages | AZW3 | 26.94 MB





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Category: Tutorial
Ultimate PBN (Private Blog Networks) Course - Advanced SEO
Ultimate PBN (Private Blog Networks) Course - Advanced SEO
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 20 | 271 MB
Genre: eLearning | Language: English

This Is The Fastest And Most Advanced Way Of Ranking Highly Competitive Keywords on Google - Advanced SEO Technique

So, basically what you're going to learn in this course are as follows :

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Category: Graphic
Template vector banner for images for social networks
Template vector banner for images for social networks
16 files | EPS + preview | 128 Mb
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Category: E-Book
Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations

Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations by S. Chakraverty, Susmita Mall
2017 | ISBN: 1498781381 | English | 168 pages | PDF | 9 MB
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Category: Tutorial
Neural Networks
Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 43M | 229 MB
Genre: eLearning | Language: English

Neural networks form the foundation for deep learning, the most advanced and popular machine learning technique in use today. This course provides an introduction to neural networks. It begins with an overview of a neural network's basic concepts and building blocks - neurons, weights, activations, and layers - before explaining how to train one using gradient descent.

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Category: E-Book

Advanced Models of Neural Networks Nonlinear Dynamics and Stochasticity in Biological Neurons

Gerasimos G. Rigatos, "Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons"
English | 2014 | ISBN: 3662437635 | PDF | pages: 296 | 8.8 mb

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Category: Tutorial
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O'Reilly - Understanding Convolutional Neural Networks (CNNs)
English | Size: 991.69 MB
Category: Tutorial

Convolutional neural networks (CNNs) enable very powerful deep learning based techniques for processing, generating, and sensemaking of visual information. These are revolutionary techniques in computer vision that impact technologies ranging from e-commerce to self-driving cars. This course offers an in-depth examination of CNNs, their fundamental processes, their applications, and their role in visualization and image enhancement. The course covers concepts, processes, and technologies such as CNN layers and architectures. It also explains CNN image classification and segmentation, deep dream and style transfer, super-resolution, and generative adversarial networks (GANs). Learners who come to this course with a basic knowledge of deep learning principles, some computer vision experience, and exposure to engineering math should gain the ability to implement CNNs and use them to create their own visualizations.
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Category: E-Book
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
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