Search result for Networks Online Courses & Certifications
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Sampling People, Networks and Records
by James M Lepkowski- 4.4
Approx. 20 hours to complete
Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors. It is these last kinds of samples that will be discussed in this course....
Networks Illustrated: Principles without Calculus
by Christopher Brinton , Mung Chiang- 4.4
Approx. 24 hours to complete
These are just a few of the many intriguing questions we can ask about the social and technical networks that form integral parts of our daily lives. Power Control in Cellular Networks Power of Networks Random Access in Wifi Networks Influencing People in Social Networks...
Convolutional Neural Networks in TensorFlow
by Laurence Moroney- 4.7
Approx. 26 hours to complete
To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....
Apply Generative Adversarial Networks (GANs)
by Sharon Zhou , Eda Zhou , Eric Zelikman- 4.8
Approx. 27 hours to complete
AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. (Optional Notebook) Generative Teaching Networks...
Networks: Friends, Money, and Bytes
by Mung Chiang , Christopher Brinton- 4.7
Approx. 37 hours to complete
Introduction to Networks Trees and Overlay Networks Large Networks from Small Switches...
Deep Learning- Learn With Tensor Flow and Python
by Programming Academy- Learn and Create- 3.5
18 hours on-demand video
This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand. Artificial Neural Networks Densely Connected Networks Convolutional Neural Networks Recurrent Neural Networks...
$12.99
Optimization: principles and algorithms - Network and discrete optimization
by Michel Bierlaire- 0.0
5 Weeks
Introduction to network optimization and discrete optimization Introduction to the mathematical concept of networks, and to two important optimization problems on networks: the transshipment problem and the shortest path problem. Short introduction to the modeling power of discrete optimization, with reference to classical problems. Introduction to the branch and bound algorithm, and the concept of cuts....
$49
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TensorFlow 2.0 Practical
by Dr. Ryan Ahmed, Ph.D., MBA- 4.3
11.5 hours on-demand video
(1) Train Feed Forward Artificial Neural Networks to perform regression tasks such as sales/revenue predictions and house price predictions (2) Develop Artificial Neural Networks in the medical field to perform classification tasks such as diabetes detection. to build, train, test and deploy Artificial Neural Networks (ANNs) models. Train Artificial Neural Networks (ANNs) using back propagation and gradient descent methods....
$15.99
Artificial Intelligence Masterclass
by Hadelin de Ponteves- 4.3
12 hours on-demand video
Fully-Connected Neural Networks Convolutional Neural Networks Recurrent Neural Networks Mixed Density Networks Fully-Connected Neural Networks Convolutional Neural Networks Recurrent Neural Networks...
$16.99
Complete Tensorflow 2 and Keras Deep Learning Bootcamp
by Jose Portilla- 4.7
19 hours on-demand video
This course will guide you through how to use Google's latest TensorFlow 2 framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow 2 framework in a way that is easy to understand. Artificial Neural Networks...
$17.99