Search result for Computer networks Online Courses & Certifications
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IT Security 101 - Cyber Security for Beginners
by John Courtenay- 3.9
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32 mins on-demand video
Learn cyber security best practice tips on securing computer networks from internal & external IT security threats Over this course, we'll be going over how to protect your organisation's computer network from any internal and external threats, whether this be from a technological or a human point of view....
$12.99
Nuove tecnologie digitali
by Giorgio Ventre- 0.0
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5 Weeks
Shannon’s Information theory is first introduced as well as the basic concepts behind computer systems organisation, operating systems and Graphical User Interfaces. Computer networks and transmission systems are then presented, focusing on telematic networks at the local, geographic and Internet level. Basic concepts relating to Computer Architecture, Operating System and Graphical User Interfaces; Computer networks and transmission systems;...
$60
Backyard Meteorology: The Science of Weather
by John Huth- 0.0
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6 Weeks
The weather forecasts we see every day are based on an army of meteorological sensing networks and intensive computer modeling. This course will explore the science behind weather systems by teaching the observational skills needed to make a forecast without using instruments or computer models. Finally, we will examine the limits of prediction in both human observations and computer models....
$149
Convolutional Neural Networks
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 35 hours to complete
In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. Foundations of Convolutional Neural Networks Classic Networks Networks in Networks and 1x1 Convolutions State of Computer Vision...
Machine Learning: Beginner Reinforcement Learning in Python
by Milo Spencer-Harper- 4.6
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2 hours on-demand video
Some of the most exciting advances in artificial intelligence have occurred by challenging neural networks to play games. The computer gets a small reward if it goes backwards, but if it learns to make short term sacrifices by persistently pressing forwards it can earn a much larger reward....
$11.99
Learning Windows Server Hyper-V 2016
by Packt Publishing- 4.5
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3.5 hours on-demand video
Craig has more than thirty years' experience in the computer industry and holds a Bachelor of Science in Computer Science from California State University, Chico, and a Masters in Business Administration from Pepperdine University....
$12.99
[2020] Machine Learning and Deep Learning Bootcamp in Python
by Holczer Balazs- 4.5
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18.5 hours on-demand video
Computer Vision and Face Detection with OpenCV Neural Networks: what are feed-forward neural networks and why are they useful Deep Learning: feedforward neural networks and deep neural networks are the state-of-the-art approaches in artificial intelligence in 2020. deep neural networks convolutional neural networks (CNNs) recurrent neural networks (RNNs)...
$17.99
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. Supervised Learning with Neural Networks Neural Networks Basics Shallow Neural Networks Neural Networks Overview Gradient Descent for Neural Networks Shallow Neural Networks Deep Neural Networks Building Blocks of Deep Neural Networks...
Synapses, Neurons and Brains
by Idan Segev- 4.8
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Approx. 20 hours to complete
Recent heroic attempts to realistically simulate large cortical networks in the computer will be highlighted (e. Cortical Networks - Out of the Blue Project A Cortical Column Networks Cortical Networks - Out of the Blue Project...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
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Approx. 34 hours to complete
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Introduction to neural networks A glimpse of other Computer Vision tasks...
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