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Learning To Make Books


Learning To Make Books
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Learning To Make Books


Learning To Make Books
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Author : Kathleen Petelinsek
language : en
Publisher: Cherry Lake
Release Date : 2015-08-01

Learning To Make Books written by Kathleen Petelinsek and has been published by Cherry Lake this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-01 with Juvenile Nonfiction categories.


Learn how to create your own book, including its cover, pages, and binding. Crafters practice comprehension skills as they use text and diagrams to follow the steps for each project. The activities push students to learn and apply domain-specific vocabulary, practice new techniques, and build on concepts that may already be familiar. Other tools, including an index and additional resources, encourage readers to locate information and explore further independently.



Grokking Deep Learning


Grokking Deep Learning
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Author : Andrew W. Trask
language : en
Publisher: Simon and Schuster
Release Date : 2019-01-23

Grokking Deep Learning written by Andrew W. Trask and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-23 with Computers categories.


Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide



Learn To Play Go


Learn To Play Go
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Author : Janice Kim
language : en
Publisher:
Release Date : 2011-04-01

Learn To Play Go written by Janice Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-01 with Games categories.


The Palace of Memory is the fifth volume of the award-winning Learn to Play Go series. Covers some principles of the opening and the endgame and of something called "shape." Good shape is an intersection between tactics and strategy. Shows some of the templates of basic shape and thier use in fighting. Contains guides to the opening. Shows how to calculate the size of endgame moves. Includes self-test section.



Make It Stick


Make It Stick
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Author : Peter C. Brown
language : en
Publisher: Harvard University Press
Release Date : 2014-04-14

Make It Stick written by Peter C. Brown and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-14 with Psychology categories.


To most of us, learning something "the hard way" implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the authors offer concrete techniques for becoming more productive learners. Memory plays a central role in our ability to carry out complex cognitive tasks, such as applying knowledge to problems never before encountered and drawing inferences from facts already known. New insights into how memory is encoded, consolidated, and later retrieved have led to a better understanding of how we learn. Grappling with the impediments that make learning challenging leads both to more complex mastery and better retention of what was learned. Many common study habits and practice routines turn out to be counterproductive. Underlining and highlighting, rereading, cramming, and single-minded repetition of new skills create the illusion of mastery, but gains fade quickly. More complex and durable learning come from self-testing, introducing certain difficulties in practice, waiting to re-study new material until a little forgetting has set in, and interleaving the practice of one skill or topic with another. Speaking most urgently to students, teachers, trainers, and athletes, Make It Stick will appeal to all those interested in the challenge of lifelong learning and self-improvement.



Lessons In The Fundamentals Of Go


Lessons In The Fundamentals Of Go
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Author : Toshirō Kageyama
language : en
Publisher:
Release Date : 1998-09-01

Lessons In The Fundamentals Of Go written by Toshirō Kageyama and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-01 with Games categories.




Who Says You Can T You Do


Who Says You Can T You Do
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Author : Daniel Chidiac
language : en
Publisher: National Geographic Books
Release Date : 2018-01-09

Who Says You Can T You Do written by Daniel Chidiac and has been published by National Geographic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-09 with Self-Help categories.


A word-of-mouth phenomenon that's changing lives around the world--a journey into your true self and amazing potential. Do you want to change your life? Well, who says you can't? A moment came in Daniel Chidiac's life when he realized he wasn't living his truth. His work didn't fulfill him, his relationships hurt him, and he was making choices that didn't align with his true values. But he did have the ability to know his own purpose--a gift we all have--and thus his journey began. Daniel studied the lives of great achievers, sought guidance from spiritual leaders, and discovered the secrets for shaping one's own destiny. He used his personal experience of changing his life to create this powerful seven-step guide to discovering your true self, committing to your own life, and pushing beyond your known limits. Standing out for his incisive wisdom and complete lack of gimmicks, Daniel Chidiac is an inspiring, insightful, and honest guide. His empowering system has spread organically, and it has already changed the lives of legions of readers. With practical exercises and interactive tools, this book challenges you to ask hard questions and make life-changing decisions--and ultimately guides you to the fulfillment you have been seeking. Get ready to be intrigued, fascinated, and amazed. Not by this book, but by your own power.



Deep Learning


Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10

Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.


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.



101 Ways To Make Learning Active Beyond The Classroom


101 Ways To Make Learning Active Beyond The Classroom
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Author : Elaine Biech
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-27

101 Ways To Make Learning Active Beyond The Classroom written by Elaine Biech and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-27 with Business & Economics categories.


Fresh, creative strategies guaranteed to enliven online training 101 Ways to Make Learning Active Beyond the Classroom provides proven, practical strategies, activities, and tips for those tasked with facilitating training in any subject area among alternative settings. Based on the best-selling Active Training approach, these methods have been designed by recognized experts, and are guaranteed to enliven any learning event. Readers will find a toolkit of ready-to-use exercises and tips for organizing, conducting, and delivering active learning, in alternative settings on the job or around the world. The book is organized in a way that allows trainers to quickly and easily identify strategies that hold the most promise for specific situations. Each strategy is illustrated with a case example that demonstrates the concepts in action. Two hundred tips organized in twenty how-to lists will prove invaluable for using Twitter, coaching virtually, encouraging informal learning, opening interactive virtual learning sessions, and much more. Coverage includes best practices for social media and informal learning, common e-learning tools, as well as guidance toward using a full gamut of tools from gamification and simulation to serious games and m-learning. Active training encourages participants to use their brains to study ideas, solve problems, and apply what they've learned. It's a fast-paced, fun, supportive, and personally engaging environment. This book shows training facilitators the proven techniques that help learners get more out of the material. Design a more engaging learning environment Improve delivery with optimized technology Utilize effective learning tools and practical strategies Learn best practices for social media, coaching, virtual learning, and more Learners need to figure things out by themselves, ask questions, practice skills, and transfer skills and knowledge to the job. With proven strategies designed by industry leaders, 101 Ways to Make Learning Active Beyond the Classroom is the indispensable guide to the design and delivery of effective alternative ways to learn.



Learning To Make A Difference


Learning To Make A Difference
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Author : Etienne Wenger
language : en
Publisher: Cambridge University Press
Release Date : 2020-10

Learning To Make A Difference written by Etienne Wenger and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10 with Education categories.


This book updates Social Learning Theory, offering a practical and rigorous way to develop the capacity to bring about change.



Invent Your Own Computer Games With Python 4th Edition


Invent Your Own Computer Games With Python 4th Edition
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Author : Al Sweigart
language : en
Publisher: No Starch Press
Release Date : 2016-12-16

Invent Your Own Computer Games With Python 4th Edition written by Al Sweigart and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-16 with Computers categories.


Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level. Learn how to: –Combine loops, variables, and flow control statements into real working programs –Choose the right data structures for the job, such as lists, dictionaries, and tuples –Add graphics and animation to your games with the pygame module –Handle keyboard and mouse input –Program simple artificial intelligence so you can play against the computer –Use cryptography to convert text messages into secret code –Debug your programs and find common errors As you work through each game, you’ll build a solid foundation in Python and an understanding of computer science fundamentals. What new game will you create with the power of Python? The projects in this book are compatible with Python 3.