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Advanced Deployment Scenarios with TensorFlow
by Laurence Moroney- 4.7
Approx. 13 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. Finally, you’ll explore federated learning and how you can retrain deployed models with user data while maintaining data privacy. Downloading the Ungraded Labs and Programming Assignments Explore federated learning and how to retrain deployed models while maintaining data privacy...
Foundations of Teaching for Learning: Being a Professional
by Professor Stephen Dinham , Professor John MacBeath- 4.7
Approx. 12 hours to complete
The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. The importance of the teacher to student outcomes and development Grading and Logistics Ethics, codes of conduct and standards for teachers...
The Science of Training Young Athletes
by Dr. Chris Brooks- 4.8
Approx. 19 hours to complete
We begin by examining the multidimensional nature of coaching, the relevant sport motor performance abilities, the impact of growth and development on motor skills, the gene versus practice controversy, and briefly overview the body structures strengthened through training. Part 3 - Development and environment Psychology 2 - Talent identification and development (Dr....
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
Understanding child development: from synapse to society
by dr. Jorg Huijding- 4.6
Approx. 28 hours to complete
You will learn that child development is complex and is influenced by a surprisingly rich number of factors at many different levels of organization. You will see that development can be studied in various domains and at various levels of understanding, from different angles and disciplines. Brain and motor development Speech and language development...
Management of International Development: Towards Agenda 2030
by Greta Nasi , Luca Brusati , Alexander Maximilian Hiedemann , Daniele Alesani- 4.8
Approx. 8 hours to complete
This course provides participants with the opportunity to explore the multifaceted concept of international development in order to be able to interpret and lead its challenges, opportunities and constant evolutions. Actors and trends in International Development Cooperation. Good Governance and International Development The role of talent management and learning & development in IOs...
Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
Approx. 24 hours to complete
Apply transfer learning to object localization and detection. This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models. Classification and Object Detection Intro Data Prep and Training Overview...
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
by Laurence Moroney- 4.7
Approx. 30 hours to complete
This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning....
Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
Approx. 13 hours to complete
Deep learning added a huge boost to the already rapidly developing field of computer vision. The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. Structure of human eye and vision Image processing goals and tasks Contrast and brightness correction...
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
Approx. 31 hours to complete
This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them. , TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning....