Author: Alice Schertle
Publisher: Disney-Hyperion
ISBN: 9781423113546
Category : Juvenile Fiction
Languages : en
Pages : 0
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Book Description
What do you do when your teacher assigns you ten pages of homework, a raptor swoops down and grabs you, and you suddenly find yourself all alone in the jungle about to be swallowed by a python? When you're Digby, the solution to every problem is in your backpack.
Author:
Publisher: Macmillan
ISBN: 1596434538
Category : Juvenile Fiction
Languages : en
Pages : 212
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Book Description
In order to save his ailing grandfather from a curse, boy inventor Walker Bean must return an accursed pearl skull to the witches who created it, and face pirates, magical machines, and deadly peril along the way.
Author:
Publisher:
ISBN:
Category : Children's libraries
Languages : en
Pages : 1046
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Book Description
Author: Rose Arny
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 1756
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Book Description
Author: Alma Flor Ada
Publisher: Harper Collins
ISBN: 0688160190
Category : Juvenile Fiction
Languages : en
Pages : 74
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Book Description
El sol es de oro la luna es de plata y las estrellitas son de hoja de lata. The sun's a gold medallion. The moon's a silver ball. The little stars are only tin; I love them best of all. Here is a groundbreaking bilingual collection of traditional rhymes that celebrates childhood and Spanish and Latin American heritage. From playing dress up to making tortillas, and from rising at daybreak to falling asleep, these joyful rhymes are sure to delight young readers. Passed down from generation to generation, the twenty-nine rhymes included have been lovingly selected by distinguished authors Alma Flor Ada and F. Isabel Campoy. English adaptations by Alice Schertle capture the spirit of each rhyme and have a charm all their own. Accompanied by enchanting illustrations by Spanish artist Viví Escrivá, this collection is destined to become a beloved classic for children already familiar with the rhymes as well as those encountering them for the first time.
Author: Daniel Pinkwater
Publisher: Abrams
ISBN: 1647004942
Category : Juvenile Fiction
Languages : en
Pages : 40
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Book Description
A wild picture book starring a world-renowned cat, his trainer, a cast of quirky characters from award-winning creators Daniel Pinkwater and Aaron Renier Thermal Herman 6-7/8 is the top Kat Hat in Matt Katz’s company. A trained cat who is able to form himself into specialty hats, Thermal Herman is world-renowned for his warmth and agility. When a friend wanders off with a brain freeze and finds themself in peril, Thermal Herman must rush in to save the day in this zany and cleverly illustrated picture book, sure to make young readers giggle with every page.
Author: J. B. S. Haldane
Publisher:
ISBN: 9781903252192
Category : Magicians
Languages : en
Pages : 149
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Book Description
Author: Alice Schertle
Publisher: Houghton Mifflin Harcourt
ISBN: 0547248288
Category : Juvenile Nonfiction
Languages : en
Pages : 33
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Book Description
A small blue truck finds his way out of a jam, with a little help from his friends.
Author: Francois Chollet
Publisher: Simon and Schuster
ISBN: 1638352046
Category : Computers
Languages : en
Pages : 597
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Book Description
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance
Author: Dipanjan Sarkar
Publisher: Apress
ISBN: 1484223888
Category : Computers
Languages : en
Pages : 397
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Book Description
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
