Write modern natural language processing applications using deep learning algorithms and TensorFlow Key Features Focuses on more efficient natural language processing using TensorFlow Covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approaches Provides choices for how to process and evaluate large unstructured text datasets Learn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligence Book Description Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today’s data streams, and apply these tools to specific NLP tasks. Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics. You'll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms. Chapters on classical deep learning algorithms, like convolutional neural networks (CNN) and recurrent neural networks (RNN), demonstrate important NLP tasks as sentence classification and language generation. You will learn how to apply high-performance RNN models, like long short-term memory (LSTM) cells, to NLP tasks. You will also explore neural machine translation and implement a neural machine translator. After reading this book, you will gain an understanding of NLP and you'll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks. What you will learn Core concepts of NLP and various approaches to natural language processing How to solve NLP tasks by applying TensorFlow functions to create neural networks Strategies to process large amounts of data into word representations that can be used by deep learning applications Techniques for performing sentence classification and language generation using CNNs and RNNs About employing state-of-the art advanced RNNs, like long short-term memory, to solve complex text generation tasks How to write automatic translation programs and implement an actual neural machine translator from scratch The trends and innovations that are paving the future in NLP Who this book is for This book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. Fundamental Python skills are assumed, as well as some knowledge of machine learning and undergraduate-level calculus and linear algebra. No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful.

A collection of folktales from around the world, selected for their "tellability."

Many parents of a teenager or young adult feel as though they're guessing about what to do next--with mixed results. We want to stay connected with our maturing child, but we're not sure how. And deep down, we fear our child doesn't want or need us. Based on brand-new research and interviews with remarkable families, Growing With equips parents to take steps toward their teenagers and young adults in a mutual journey of intentional growth that trusts God to transform them all. By highlighting three groundbreaking family strategies, authors Kara Powell and Steven Argue show parents that it's never too early or too late to - accept the child you have, not the child you wish you had - work toward solutions rather than only identifying problems - develop empathy that nudges rather than judges - fight for your child, not against them - connect your children with a faith and church big enough to handle their doubts and struggles - dive into tough discussions about dating, career, and finances - and unleash your child's passions and talents to change our world For any parent who longs for their kids to keep their roots even as they spread their wings, Growing With offers practical help and hope for the days--and years--ahead.

We live in a world where, when you get to a certain age, there is a lot of pressure to be in a relationship. Everyone asks, How can you be in your twenties and still be single? What is wrong with you? When are you going to get married? For years that was my story: a girl depressed at not being where other people expected her to be. A girl who wanted badly to be with someone, anyone, just so she could fit in with the world. This book is written to share that story with transparency and to encourage every single girl to know that you are not alone in this walk. Never be ashamed to share your struggles with the season of being single. Dont let the world define you or where you should be. Instead, learn who you were created to be. Learn how much you are worth. Learn to shut down the voices that dont matter. This book is about a journey to freedom: freedom from the worlds expectations, freedom from relationship expectations, and freedom to be the authentic version of yourself.

A look at the various cognitive, social, and linguistic aspects of how social identities are constructed, forgrounded and redefined in interaction. Concepts and methodologies are taken from studies in language variation and change, multilingualism, conversation analysis, genre analysis, sociolinguistics, critical discourse analysis, as well as translation studies and applied linguistics.

This collection spotlights the authentic voices of plurilingual learners, bringing together autoethnographies of over twenty graduate students to deepen current understandings of lived experiences of plurilingualism. The volume begins with outlining foundational work on plurilingualism in language education up to this point, with the body of work on plurilingual subjectivities historically focusing on researchers’ and practitioners’ gazes, rather than students. The book moves into short autoethnographies of graduate students at the University of Toronto enrolled in a graduate education course over three years. Employing autoethnography as the primary methodology allows the space for privileging authentic voices of plurilingual learners in their own words, learners whose individual lived experiences are uniquely contextualized within the lens of plurilingual theory. The volume and diversity of perspectives showcased offer a unique window into the diversity and commonalities among plurilingual learners, offering opportunities for reflection on directions for future research. This book will be of interest to students and scholars in applied linguistics, language teaching and learning, and language education.