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2. Instructure - Wikipedia

   en.wikipedia.org/wiki/Instructure

   Instructure Holdings, Inc. is an educational technology company based in Salt Lake City, Utah, United States.It is the developer and publisher of Canvas, a web-based learning management system (LMS), and Mastery Connect, an assessment management system.

3. AOL Mail

   mail.aol.com/?icid=aol.com-nav

   You can find instant answers on our AOL Mail help page. Should you need additional assistance we have experts available around the clock at 800-730-2563.

4. ANGEL Learning - Wikipedia

   en.wikipedia.org/wiki/ANGEL_Learning

   The ANGEL LMS was created using the early system concepts and was released by the newly formed CyberLearning Labs, Inc. in July 2000. The company has since changed its name to ANGEL Learning. On May 6, 2009, competitor Blackboard Inc announced that it is purchasing ANGEL Learning with the merger's completion planned for the end of May, 2009. [2]

5. ILIAS - Wikipedia

   en.wikipedia.org/wiki/ILIAS

   ILIAS (Integriertes Lern-, Informations- und Arbeitskooperations-System [German for "Integrated Learning, Information and Work Cooperation System"]) is an open-source web-based learning management system (LMS). It supports learning content management (including SCORM 2004 compliance) and tools for collaboration, communication, evaluation and ...

6. Kannu (learning management system) - Wikipedia

   en.wikipedia.org/wiki/Kannu_(learning_management...

   Kannu is a learning management system, purpose-built for creative education in music, arts, and design. It was released by California-based company Kadenze, Inc. ("Kadenze") in 2014 after the success of its MOOC platform, which Kannu is modeled after. History

7. Fine-tuning (deep learning) - Wikipedia

   en.wikipedia.org/wiki/Fine-tuning_(deep_learning)

   In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained model are trained on new data. [1] Fine-tuning can be done on the entire neural network, or on only a subset of its layers, in which case the layers that are not being fine-tuned are "frozen" (or, not changed during the backpropagation step). [2]