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Complex Networks IX Proceedings of the 9th Conference on Complex Networks CompleNet 2018

Complex Networks IX: Proceedings of the 9th Conference on Complex Networks CompleNet 2018 By Sean Cornelius
English | PDF,EPUB | 2018 | 341 Pages | ISBN : 3319731971 | 17.69 MB
This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems.

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CCNP Switch 642-813 Implementing Cisco IP Switched Networks
CCNP Switch 642-813 Implementing Cisco IP Switched Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 14 Hours | Lec: 57 | 2.21 GB
Genre: eLearning | Language: English

Implementing Cisco IP Switched Networks

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City Networks Collaboration and Planning for Health and Sustainability (Springer Optimization and Its Applications)

City Networks: Collaboration and Planning for Health and Sustainability (Springer Optimization and Its Applications) by Athanasia Karakitsiou
English | 26 Dec. 2017 | ISBN: 3319653369 | 292 Pages | PDF | 8.79 MB

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Advanced Neural Networks with Tensorflow
Advanced Neural Networks with Tensorflow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 534 MB
Genre: eLearning | Language: English

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SANS AUD507 Auditing & Monitoring Networks, Perimeters & Systems (2016) PDFs

SANS AUD507: Auditing & Monitoring Networks, Perimeters & Systems (2016) PDFs
English | Size: 214.96 MB
Category: Network
One of the struggles that IT auditors face today is assisting management to understand the relationship between the technical controls and the risks to the business that these affect. In this course these threats and vulnerabilities are explained based on validated information from real world situations. The instructor will take the time to explain how this can be used to raise the awareness of management and others within the organization to build an understanding of why these controls specifically and auditing in general is important.

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Emergence of Communication in Socio-Biological Networks

Emergence of Communication in Socio-Biological Networks By Anamaria Berea
English | PDF,EPUB | 2017 (2018 Edition) | 90 Pages | ISBN : 3319645641 | 2.45 MB
This book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications.

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Neural Networks in Machine Learning for Developers
Neural Networks in Machine Learning for Developers
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 44M | 157 MB
Genre: eLearning | Language: English

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Building Neural Networks with MXNet
Building Neural Networks with MXNet
.MP4, AVC, 780 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 1 hr 12 mins | 525 MB
Instructor: Mark Tabladillo

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Building Neural Networks with TensorFlow
Building Neural Networks with TensorFlow
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1 Hour | 378 MB
Genre: eLearning | Language: English

TensorFlow is an open-source library whose primary purpose is to help developers and data scientists build deep neural networks. Learn the basics of TensorFlow and see it in action as a first step in building deep neural networks of your own.

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Coursera - Neural Networks and Deep Learning by Andrew Ng

Coursera - Neural Networks and Deep Learning by Andrew Ng
English | Size: 609.04 MB
Category: Tutorial
If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago.

In this course, you will learn the foundations of deep learning. When you finish this class, you will:
- Understand the major technology trends driving Deep Learning
- Be able to build, train and apply fully connected deep neural networks
- Know how to implement efficient (vectorized) neural networks
- Understand the key parameters in a neural network's architecture

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