Deep Meaningful Learning

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

Deep Learning (DL) aims at learning the meaningful representations. A meaningful representation refers to the one that gives rise to significant performance improvement of associated Machine Learning (ML) tasks by replacing the raw data as the input. However, optimal architecture design and model parameter estimation in DL algorithms are widely considered to be intractable. Evolutionary algorit...

Concept maps and meaningful learning in medical education

Rote Versus Meaningful Learning 1

Richard E. Mayer is a professor of psychology and education at the University of California, Santa Barbara. L EARNING INVOLVES THE ACQUISITION of knowledge. This is a commonsense view of learning that has implications for how to teach—such as presenting information to learners in books and lectures—and how to assess—such as testing to see how much of the presented material students can remember...

Integrating Technology for Meaningful Learning

Textbook details: Integrating Technology for Meaningful Learning, Second Edition Grabe, Mark (Professor and Head, Department of Psychology, University of North Dakota and Grabe, Cindy (Technology Facilitator, Grand Forks Schools, North Dakota) 1998, Houghton Mifflin Company, 222 Berkley Street, Boston, MA 02116 USA (ISBN 0 395 87136 0) Pages, 451; parts, 3; chapters, 11; glossary; references; c...

Melanoma detection with a deep learning model

Background: Skin cancer is one of the most common forms of cancer in the world and melanoma is the deadliest type of skin cancer. Both melanoma and melanocytic nevi begin in melanocytes (cells that produce melanin). However, melanocytic nevi are benign whereas melanoma is malignant. This work proposes a deep learning model for classification of these two lesions.    Methods: In this analytic s...