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Deep Learning CNN: Convolutional Neural Networks with Python
by AI Sciences- 4.5
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14 hours on-demand video
Architecture of a CNN Transfer Learning Implementation of transfer learning using TensorFlow-hub An overview of concepts of Deep Learning theory. Deep details of CNNs with examples of training CNNs from scratch. The use and applications of state-of-the-art pre-trained CNNs (with implementations in state-of-the-art framework TensorFlow) for transfer learning on your own dataset....
$14.99
Introduction to Self-Determination Theory: An approach to motivation, development and wellness
by Richard Ryan- 4.8
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Approx. 21 hours to complete
5: More Fun With Intrinsic Motivaton: The Example of Video Games Lecture 5: More Fun with Intrinsic Motivation: The Example of Video Games Everyday Examples of Different Forms of Motivations The impact of Internalization: Three Examples Lecture 8: Everyday Examples of Different Forms of Motivation Lecture 10: The Impact of Internalization: Three Examples...
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
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Approx. 53 hours to complete
Welcome to this course on Probabilistic Deep Learning with TensorFlow! This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets. Welcome to Probabilistic Deep Learning with TensorFlow 2 The need for uncertainty in deep learning models...
3D Models for Virtual Reality
by Dr Sylvia Xueni Pan- 4.6
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Approx. 16 hours to complete
In this course you will learn the basics of 3D graphics: how we create objects and how to lay them out to create an environment. You will learn all of this using the professional game and VR engine, Unity3D. Learning To Use A-Frame Learning Unity Learning More About Audio in Unity...
Social and Economic Networks: Models and Analysis
by Matthew O. Jackson- 4.8
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Approx. 30 hours to complete
2: Examples and Challenges 6: Diameters of Random Graphs (Optional/Advanced 11:12) Optional: Empirical Analysis of Network Data using Gephi or Pajek Optional: Empirical Analysis of Network Data Optional: Empirical Analysis of Network Data Learning on Networks 1: Learning 4: Proof of Convergence Theorem (Optional/Advanced 10:25) 6: Examples of Influence 8: Learning Summary 3: Properties of Equilibria...
Social Pedagogy across Europe
by Sylvia Holthoff , Lindy Simpson , Gabriel Eichsteller , Lowis Charfe , Ali Gardner , Jörg Schlüter , Colin Paterson , Heike Schädler , Brigitte Paterson , Charlotte Firing , Martin Sørensen , Dana Knotová , Vladimíra Kyjánková , Xavier Úcar , Laura Arnau , Paloma Valdivia Vizarreta , Àngela Janer , Héctor Núñez , Laura Corbella , Lieve Bradt , Rudi Roose- 4.5
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Approx. 20 hours to complete
Examples of Social Pedagogical Practice – Community Schools Project (Mexico) Examples of Social Pedagogical Practice - Rescue (Greece) Examples of Social Pedagogical Practice - Foster Children's Rights Coalition (United States of America) Examples of Social Pedagogical Practice - North Shore Restorative Justice Society (Canada) Examples of Social Pedagogical Practice – Monteiro Lobato (Brazil)...
Resilience in Children Exposed to Trauma, Disaster and War: Global Perspectives
by Ann S. Masten, Ph.D., LP- 4.7
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Approx. 20 hours to complete
Week 1: Origins and Landmark Studies in the Science of Resilience in Children Active Learning Assignment 2: Case Study of Dr. Case study of Mike Maddaus: Self-report for Completing Active Learning Assignment 2 Week 5: Roles of Families, Schools, Culture, and Community in Promoting Resilience of Children Interview with Michael Ungar (part of Active Learning Project 4)...
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The Construction Industry: The Way Forward
by Ibrahim Odeh, Ph.D., MBA- 4.7
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Approx. 6 hours to complete
Through case studies, you will learn the industry characteristics and its unique environment that led to such productivity performance as well as touch base on other several examples of challenges we are facing internally in the industry. History and Development of Construction Industry History, Characteristics and Challenges of Construction Industry Ten Examples of the Trends...
Think Again IV: How to Avoid Fallacies
by Dr. Walter Sinnott-Armstrong , Dr. Ram Neta- 4.7
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Approx. 18 hours to complete
There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course. Fallacies of Unclarity Fallacies of Equivocation Fallacies of Equivocation Fallacies of Relevance Fallacies of Relevance and Vacuity Fallacies of Relevance: Ad Hominem Fallacies of Vacuity and Circularity Fallacies of Vacuity...
Experimental Design Basics
by Douglas C. Montgomery- 4.7
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Approx. 13 hours to complete
Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. History of DOX The Basic Principles of DOX Best Practices in Online Learning (or How to Succeed in This Class) Unit 3: Experiments with a Single Factor - The Analysis of Variance Examples of Single-Factor Experiments...
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