Search result for Federated learning Online Courses & Certifications
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Secure and Private AI
by Andrew Trask- 0.0
Approx. 2 months
If you're using traditional Deep Learning tools, this means persuading someone to send you a copy of a sensitive dataset....
Free
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. Federated Learning APIs for Federated Learning Example of federated learning Explore federated learning and how to retrain deployed models while maintaining data privacy...
Microsoft Azure Solutions (Exam 70-533) – 9 Course Bundle
by Intellezy Trainers- 4.7
9.5 hours on-demand video
The content provides the pre-requisite knowledge required by all individuals who will be learning Microsoft Azure. Students who are administrators, developers, or database administrators will benefit from learning thee fundamentals covered in this course and will be better prepared to take additional Microsoft Azure courses that are generally more advanced....
$19.99
Azure Solutions (Exam 70-533) & 365 Admin–(10-Course Bundle)
by Intellezy Trainers- 0.0
16 hours on-demand video
The content provides the pre-requisite knowledge required by all individuals who will be learning Microsoft Azure. Students who are administrators, developers, or database administrators will benefit from learning thee fundamentals covered in this course and will be better prepared to take additional Microsoft Azure courses that are generally more advanced....
$16.99
Learn RabbitMQ: Asynchronous Messaging with Java and Spring
by Niyazi Erdogan- 4.2
2.5 hours on-demand video
From Exchanges to Queues, Bindings to Message Listeners, we'll start by learning the pillars, corner stones of RabbitMQ and build on top of them with practical development for all these concepts using Java and Spring! RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements....
$16.99
AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools
by Siddharth Mehta- 4.3
30.5 hours on-demand video
AWS Lambda - Microservices are often tied with APIs, and are the cornerstone of any programmatic integration with AWS Services, typically AWS's Artificial Intelligence and Machine Learning Services. AWS SageMaker - After comfortably using AI powered service, which abstracts the complexity of machine learning models from end-users, we will now venture in the world of machine learning with this service....
$18.99
Federated Learning | Udemy
- 0.0
in Computer Science, Machine Learning enthusiast. I like to blog and teach about Deep Learning and Federated Learning....
Example of federated learning - Federated Learning | Coursera
- 0.0
In this final course, you’ll explore four different scenarios you’ll encounter when deploying models. You’ll be introduced to TensorFlow Serving, a technology that lets you do inference over the web. You’ll move on to TensorFlow Hub, a repository of models that you can use for transfer learning. Then you’ll use TensorBoard to evaluate ....
The Federated Learning Portal
- 0.0
The Federated Learning Portal. The Federated Learning Portal. In this webportal, we keep track of books, workshops, conference special tracks, journal special issues, standardization effort and other notable events related to the field of Federated Learning (FL)....
APIs for Federated Learning - Federated Learning - Coursera
- 0.0
The federated learning API contains implementations of federated training and evaluation that can be applied to existing care as models. So you can experiment with learning using them....
Gharibim/federated_learning_course - GitHub
- 0.0
The materials for the Federated Learning Course Using PyTorch and PySyft Federated Learning course on Udemy. Introduction to Deep Learning and Neural Networks; Introduction to Federated Learning; Build Neural Networks from scratch using PyTorch; Load your datasets in IID, non-IID, and non-IID ....