Search result for Network models Online Courses & Certifications
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Custom Models, Layers, and Loss Functions with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
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Approx. 31 hours to complete
• Build off of existing models to add custom functionality, learn how to define your own custom class instead of using the Functional or Sequential APIs, build models that can be inherited from the TensorFlow Model class, and build a residual network (ResNet) through defining a custom model class. Branching models...
High Performance Computing
by Rich Vuduc , Catherine Gamboa- 0.0
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Approx. 4 months
This course will give you solid foundations for developing, analyzing, and implementing parallel and locality-efficient algorithms. Offered at Georgia Tech as CS6220 lesson 1 Work-Span or Dynamic Multithreading Model Intro to the basic algorithmic model Intro to OpenMP a practical programming model Comparison-based sorting algorithms Scans and linked list algorithms Tree algorithms Graph algorithms e....
Free
Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
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Approx. 2 months
You'll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers....
Free
Digital Transformations
by Deepa Mani- 4.7
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Approx. 19 hours to complete
Here, we will explore competition and business models in the high-tech industry, using examples of companies like Google, Apple and Facebook. Case Discussion: The Incumbent Value Network in the Music Industry Online Business Models Winner-take-all nature of competition amongst platform models Differences between platform and merchant models Identifying Platform Models Operating Models (Part 1)...
Probabilistic Graphical Models 1: Representation
by Daphne Koller- 4.6
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Approx. 67 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. Bayesian Network (Directed Models) Bayesian Network Fundamentals Bayesian Network Independencies Template Models for Bayesian Networks Overview of Template Models Temporal Models - DBNs...
Social and Economic Networks: Models and Analysis
by Matthew O. Jackson- 4.8
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Approx. 30 hours to complete
Next, we will cover a set of models of how networks form, including random network models as well as strategic formation models, and some hybrids. Optional: Empirical Analysis of Network Data Strategic Network Formation 1: Strategic Network Formation 7: Network Formation and Transfers 8: Heterogeneity in Strategic Models 9: SUGMs and Strategic Network Formation (Optional/Advanced 13:47)...
Information Security - Introduction to Information Security
by Aspen Olmsted , Justin Cappos- 0.0
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5 Weeks
Network Security - Introduction to Network Security Network Security - Protocols Network Security - Advanced Topics We take an in-depth dive into creating models to measure potential threats. Define and compare five security models (Bell-La Padula Model, Biba Integrity Model, Lipner’s Model, Clark-Wilson Integrity Model and Chinese Wall Model)...
$166
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Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
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Approx. 24 hours to complete
b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own rubber duck images. c) Implement image segmentation using variations of the fully convolutional network (FCN) including U-Net and d) Mask-RCNN to identify and detect numbers, pets, zombies, and more. Network architecture for Object Localization...
Platform Business Models
by Srinivasan R- 0.0
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5 Weeks
In contrast to traditional pipeline businesses, platform business models need different treatment, both in terms of strategies and operations. This MOOC on platform business models will take a strategic perspective to understanding business that operate as platforms. Understand the differences between conventional and platform business models...
$199
Palo Alto Networks Cybersecurity Gateway I
by James Dalton- 4.7
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Approx. 18 hours to complete
Gateway Part I provides the student with a partial understanding of the fundamental tenants of networking and covers the general concepts involved in maintaining a secure network computing environment. Gateway I: Module 2 - Networking and Network Devices Gateway I: MODULE 4 - Network Models and Packet Encapsulation Palo Alto Networks Video: Network Models...
