The Learning Book
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Deep Learning
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
The Book of Learning and Forgetting
Author: Frank Smith
language: en
Publisher: Teachers College Press
Release Date: 1998-04-02
In this thought-provoking book, Frank Smith explains how schools and educational authorities systematically obstruct the powerful inherent learning abilities of children, creating handicaps that often persist through life. The author eloquently contrasts a false and fabricated “official theory” that learning is work (used to justify the external control of teachers and students through excessive regulation and massive testing) with a correct but officially suppressed “classic view” that learning is a social process that can occur naturally and continually through collaborative activities. This book will be crucial reading in a time when national authorities continue to blame teachers and students for alleged failures in education. It will help educators and parents to combat sterile attitudes toward teaching and learning and prevent current practices from doing further harm.
Happy Learning Book For Siblings, The: 50 Awesome Activities For Siblings To Learn And Play Together At Home
Your home is the perfect place for learning, fun, and sibling bonding!The Happy Learning Book for Siblings features 50 hands-on activities you can conduct in the comfort of your home. They are divided into five learning areas (Literacy, Numeracy, Discovery of the World, Motor Skills and Sensory Play, Arts and Crafts), and are scaled for children of different ages to experience together. Spark hours of joyful learning and playful moments for your children, from toddlers to preschoolers and school-aged kids!