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Full Description
This book presents the idea that innovative ways of teaching and learning are very essential to retention and growth. Presented in 15 sections, the book starts with the common sense training on education and moves on to neural network operation. Throughout the book, the art of learning, associative, cognitive, and creative learning are stated and defined. Learning simplicity, information content as related to neural network learning are discussed. The author also discusses neural plasticity and adaptability in smarter neural networks.
If we know our human brain's basic abilities and limitation then a better educational methods can be implemented.
Presents the idea that innovative ways of teaching and learning are very essential to retention and growth
Discusses major differences and constraints between neural network and computer
Presents the significances of learning simplicity and information content as related to neural network learning are included
Stresses the neural network learning capabilities and limitations and their role in developing more efficient learning techniques
Contents
Preface. Motivation. Common Sense on Training (or Education). Neural Networks. Major Differences between Neural Networks & Computers. Memory-Based Neural Networks. Artificial Neuron Operation. Associative Memory Neural Network. Supervised and Unsupervised Learning Neural Networks. Cognitive Learning (The Art of Understanding). Learning Simplicity (The Basics). Information Content and Neural Network Learning. Brain (Neural Network) Plasticity and Adaptively. Innovative Education (i.e., Training). Search for Innovative Education. A Few Thoughts to Share. Leadership in Education.
