Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
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.
Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
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.
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
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 Loom of Language
Author: Frederick Bodmer
Publisher: W. W. Norton & Company
ISBN: 9780393300345
Category : Language Arts & Disciplines
Languages : en
Pages : 724
Book Description
Here is an informative introduction to language: its origins in the past, its growth through history, and its present use for communication between peoples. It is at the same time a history of language, a guide to foreign tongues, and a method for learning them. It shows, through basic vocabularies, family resemblances of languages -- Teutonic, Romance, Greek -- helpful tricks of translation, key combinations of roots and phonetic patterns. It presents by common-sense methods the most helpful approach to the mastery of many languages; it condenses vocabulary to a minimum of essential words; it simplifies grammar in an entirely new way; and it teaches a language as it is actually used in everyday life.
Publisher: W. W. Norton & Company
ISBN: 9780393300345
Category : Language Arts & Disciplines
Languages : en
Pages : 724
Book Description
Here is an informative introduction to language: its origins in the past, its growth through history, and its present use for communication between peoples. It is at the same time a history of language, a guide to foreign tongues, and a method for learning them. It shows, through basic vocabularies, family resemblances of languages -- Teutonic, Romance, Greek -- helpful tricks of translation, key combinations of roots and phonetic patterns. It presents by common-sense methods the most helpful approach to the mastery of many languages; it condenses vocabulary to a minimum of essential words; it simplifies grammar in an entirely new way; and it teaches a language as it is actually used in everyday life.
The Book of Learning and Forgetting
Author: Frank Smith
Publisher: Teachers College Press
ISBN: 9780807737507
Category : Education
Languages : en
Pages : 0
Book Description
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.
Publisher: Teachers College Press
ISBN: 9780807737507
Category : Education
Languages : en
Pages : 0
Book Description
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.
When You Wonder, You're Learning
Author: Gregg Behr
Publisher: Hachette Go
ISBN: 0306874725
Category : Family & Relationships
Languages : en
Pages : 253
Book Description
With lessons from Mister Rogers’ Neighborhood and examples from the acclaimed education network Remake Learning, this book brings Mister Rogers into the digital age, helping parents and teachers raise creative, curious, caring kids. Authors Gregg Behr and Ryan Rydzewski know there’s more to Mister Rogers than his trademark cardigan sweaters. To them, Mister Rogers’ Neighborhood isn’t just a children’s program — it’s a proven blueprint for raising happier, healthier kids. As young people grapple with constant reminders that the world isn’t always kind, parents and teachers can look to Fred Rogers: an ingenious scientist and legendary caregiver who was decades ahead of his time. When You Wonder, You’re Learning reveals this never-before-seen side of America’s favorite neighbor, exploring how Rogers nurtured the “tools for learning” now deemed essential for school, work, and life. These tools can boost academic performance, social-emotional well-being, and even physical health. They cost almost nothing to develop, and they’re up to ten times more predictive of children’s success than test scores. No wonder it’s been called “a must-read for anyone who cares about children.” With insights from thinkers, scientists, and teachers — many of whom worked with Rogers himself — When You Wonder, You’re Learning helps kids and the people who care for them do what Rogers taught best: become the best of whoever they are.
Publisher: Hachette Go
ISBN: 0306874725
Category : Family & Relationships
Languages : en
Pages : 253
Book Description
With lessons from Mister Rogers’ Neighborhood and examples from the acclaimed education network Remake Learning, this book brings Mister Rogers into the digital age, helping parents and teachers raise creative, curious, caring kids. Authors Gregg Behr and Ryan Rydzewski know there’s more to Mister Rogers than his trademark cardigan sweaters. To them, Mister Rogers’ Neighborhood isn’t just a children’s program — it’s a proven blueprint for raising happier, healthier kids. As young people grapple with constant reminders that the world isn’t always kind, parents and teachers can look to Fred Rogers: an ingenious scientist and legendary caregiver who was decades ahead of his time. When You Wonder, You’re Learning reveals this never-before-seen side of America’s favorite neighbor, exploring how Rogers nurtured the “tools for learning” now deemed essential for school, work, and life. These tools can boost academic performance, social-emotional well-being, and even physical health. They cost almost nothing to develop, and they’re up to ten times more predictive of children’s success than test scores. No wonder it’s been called “a must-read for anyone who cares about children.” With insights from thinkers, scientists, and teachers — many of whom worked with Rogers himself — When You Wonder, You’re Learning helps kids and the people who care for them do what Rogers taught best: become the best of whoever they are.
Learning How to Learn
Author: Barbara Oakley, PhD
Publisher: Penguin
ISBN: 052550446X
Category : Juvenile Nonfiction
Languages : en
Pages : 258
Book Description
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Publisher: Penguin
ISBN: 052550446X
Category : Juvenile Nonfiction
Languages : en
Pages : 258
Book Description
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Learning by Doing
Author: Richard DuFour
Publisher: Solution Tree Press
ISBN: 1935249894
Category : Education
Languages : en
Pages : 318
Book Description
Like the first edition, the second edition of Learning by Doing: A Handbook for Professional Learning Communities at Work helps educators close the knowing-doing gap as they transform their schools into professional learning communities (PLCs).
Publisher: Solution Tree Press
ISBN: 1935249894
Category : Education
Languages : en
Pages : 318
Book Description
Like the first edition, the second edition of Learning by Doing: A Handbook for Professional Learning Communities at Work helps educators close the knowing-doing gap as they transform their schools into professional learning communities (PLCs).
Learning in Public
Author: Courtney E. Martin
Publisher: Little, Brown
ISBN: 0316428256
Category : Social Science
Languages : en
Pages : 397
Book Description
This "provocative and personally searching"memoir follows one mother's story of enrolling her daughter in a local public school (San Francisco Chronicle), and the surprising, necessary lessons she learned with her neighbors. From the time Courtney E. Martin strapped her daughter, Maya, to her chest for long walks, she was curious about Emerson Elementary, a public school down the street from her Oakland home. She learned that White families in their gentrifying neighborhood largely avoided the majority-Black, poorly-rated school. As she began asking why, a journey of a thousand moral miles began. Learning in Public is the story, not just Courtney’s journey, but a whole country’s. Many of us are newly awakened to the continuing racial injustice all around us, but unsure of how to go beyond hashtags and yard signs to be a part of transforming the country. Courtney discovers that her public school, the foundation of our fragile democracy, is a powerful place to dig deeper. Courtney E. Martin examines her own fears, assumptions, and conversations with other moms and dads as they navigate school choice. A vivid portrait of integration’s virtues and complexities, and yes, the palpable joy of trying to live differently in a country re-making itself. Learning in Public might also set your family’s life on a different course forever.
Publisher: Little, Brown
ISBN: 0316428256
Category : Social Science
Languages : en
Pages : 397
Book Description
This "provocative and personally searching"memoir follows one mother's story of enrolling her daughter in a local public school (San Francisco Chronicle), and the surprising, necessary lessons she learned with her neighbors. From the time Courtney E. Martin strapped her daughter, Maya, to her chest for long walks, she was curious about Emerson Elementary, a public school down the street from her Oakland home. She learned that White families in their gentrifying neighborhood largely avoided the majority-Black, poorly-rated school. As she began asking why, a journey of a thousand moral miles began. Learning in Public is the story, not just Courtney’s journey, but a whole country’s. Many of us are newly awakened to the continuing racial injustice all around us, but unsure of how to go beyond hashtags and yard signs to be a part of transforming the country. Courtney discovers that her public school, the foundation of our fragile democracy, is a powerful place to dig deeper. Courtney E. Martin examines her own fears, assumptions, and conversations with other moms and dads as they navigate school choice. A vivid portrait of integration’s virtues and complexities, and yes, the palpable joy of trying to live differently in a country re-making itself. Learning in Public might also set your family’s life on a different course forever.
Learning to Improve
Author: Anthony S. Bryk
Publisher: Harvard Education Press
ISBN: 161250793X
Category : Education
Languages : en
Pages : 309
Book Description
As a field, education has largely failed to learn from experience. Time after time, promising education reforms fall short of their goals and are abandoned as other promising ideas take their place. In Learning to Improve, the authors argue for a new approach. Rather than “implementing fast and learning slow,” they believe educators should adopt a more rigorous approach to improvement that allows the field to “learn fast to implement well.” Using ideas borrowed from improvement science, the authors show how a process of disciplined inquiry can be combined with the use of networks to identify, adapt, and successfully scale up promising interventions in education. Organized around six core principles, the book shows how “networked improvement communities” can bring together researchers and practitioners to accelerate learning in key areas of education. Examples include efforts to address the high rates of failure among students in community college remedial math courses and strategies for improving feedback to novice teachers. Learning to Improve offers a new paradigm for research and development in education that promises to be a powerful driver of improvement for the nation’s schools and colleges.
Publisher: Harvard Education Press
ISBN: 161250793X
Category : Education
Languages : en
Pages : 309
Book Description
As a field, education has largely failed to learn from experience. Time after time, promising education reforms fall short of their goals and are abandoned as other promising ideas take their place. In Learning to Improve, the authors argue for a new approach. Rather than “implementing fast and learning slow,” they believe educators should adopt a more rigorous approach to improvement that allows the field to “learn fast to implement well.” Using ideas borrowed from improvement science, the authors show how a process of disciplined inquiry can be combined with the use of networks to identify, adapt, and successfully scale up promising interventions in education. Organized around six core principles, the book shows how “networked improvement communities” can bring together researchers and practitioners to accelerate learning in key areas of education. Examples include efforts to address the high rates of failure among students in community college remedial math courses and strategies for improving feedback to novice teachers. Learning to Improve offers a new paradigm for research and development in education that promises to be a powerful driver of improvement for the nation’s schools and colleges.
Leaders of Their Own Learning
Author: Ron Berger
Publisher: John Wiley & Sons
ISBN: 1118655443
Category : Education
Languages : en
Pages : 404
Book Description
From EL Education comes a proven approach to student assessment Leaders of Their Own Learning offers a new way of thinking about assessment based on the celebrated work of EL Education schools across the country. Student-Engaged Assessment is not a single practice but an approach to teaching and learning that equips and compels students to understand goals for their learning and growth, track their progress toward those goals, and take responsibility for reaching them. This requires a set of interrelated strategies and structures and a whole-school culture in which students are given the respect and responsibility to be meaningfully engaged in their own learning. Includes everything teachers and school leaders need to implement a successful Student-Engaged Assessment system in their schools Outlines the practices that will engage students in making academic progress, improve achievement, and involve families and communities in the life of the school Describes each of the book's eight key practices, gives advice on how to begin, and explains what teachers and school leaders need to put into practice in their own classrooms Ron Berger is Chief Program Officer for EL Education and a former public school teacher Leaders of Their Own Learning shows educators how to ignite the capacity of students to take responsibility for their own learning, meet Common Core and state standards, and reach higher levels of achievement. DVD and other supplementary materials are not included as part of the e-book file, but are available for download after purchase.
Publisher: John Wiley & Sons
ISBN: 1118655443
Category : Education
Languages : en
Pages : 404
Book Description
From EL Education comes a proven approach to student assessment Leaders of Their Own Learning offers a new way of thinking about assessment based on the celebrated work of EL Education schools across the country. Student-Engaged Assessment is not a single practice but an approach to teaching and learning that equips and compels students to understand goals for their learning and growth, track their progress toward those goals, and take responsibility for reaching them. This requires a set of interrelated strategies and structures and a whole-school culture in which students are given the respect and responsibility to be meaningfully engaged in their own learning. Includes everything teachers and school leaders need to implement a successful Student-Engaged Assessment system in their schools Outlines the practices that will engage students in making academic progress, improve achievement, and involve families and communities in the life of the school Describes each of the book's eight key practices, gives advice on how to begin, and explains what teachers and school leaders need to put into practice in their own classrooms Ron Berger is Chief Program Officer for EL Education and a former public school teacher Leaders of Their Own Learning shows educators how to ignite the capacity of students to take responsibility for their own learning, meet Common Core and state standards, and reach higher levels of achievement. DVD and other supplementary materials are not included as part of the e-book file, but are available for download after purchase.
The Everything Kids' Learning Activities Book
Author: Amanda Morin
Publisher: Simon and Schuster
ISBN: 1440565325
Category : Family & Relationships
Languages : en
Pages : 328
Book Description
Who says learning can't be fun? Using the word "educational" can be the quickest way to lose a child's interest. But the games, projects, and experiments in The Everything Kids' Learning Activities Book are so much fun, your kids won't even know they're learning! Not only will your kids be entertained and have fun, they'll learn skills in the key areas of reading, writing, math, science, and social studies. With 145 indoor and outdoor activities including: Comic strip sequencing Round robin storytelling Lollipop patterns The 25-cent pyramid Cookie fractions Balloon terrarium These activities are geared for kids aged 5–12, making this a go-to resource for years to come. And most activities use materials that are in your house! This easy-to-use guide is full of creative ideas and expert advice to help you be your kids' best learning partner.
Publisher: Simon and Schuster
ISBN: 1440565325
Category : Family & Relationships
Languages : en
Pages : 328
Book Description
Who says learning can't be fun? Using the word "educational" can be the quickest way to lose a child's interest. But the games, projects, and experiments in The Everything Kids' Learning Activities Book are so much fun, your kids won't even know they're learning! Not only will your kids be entertained and have fun, they'll learn skills in the key areas of reading, writing, math, science, and social studies. With 145 indoor and outdoor activities including: Comic strip sequencing Round robin storytelling Lollipop patterns The 25-cent pyramid Cookie fractions Balloon terrarium These activities are geared for kids aged 5–12, making this a go-to resource for years to come. And most activities use materials that are in your house! This easy-to-use guide is full of creative ideas and expert advice to help you be your kids' best learning partner.