"This new intermediate-level textbook includes chapters 39 through 50 with vocabulary, grammar, drills and text relating to the following topics: courtship, the rote of men and women in society, career objectives, traditions of the Spring Festival, the writings of Lu Xun, bargaining for discounts, interviewing for a job, part time work, family planning in China, visiting a traditional Chinese doctor, China's launch of the Shenzhou 5 spacecraft."
"Forty lessons designed to introduce beginning students to the basic patterns and structures of Classical Chinese are taken from a number of pre-Han and Han texts selected to give students a grounding in exemplary Classical Chinese style. Two additional lessons use texts from later periods to help students appreciate the changes in written Chinese over the centuries. Each lesson consists of a text, a vocabulary list featuring discussions of meaning and usage, explanations of grammar, and explications of difficult passages. The standard modern Chinese, Japanese, and Korean pronunciations are indicated for each character, making this a learning tool for native speakers of those languages as well. Appendices give suggestions for further readings, review common and significant words, explain the radical system, and provide Japanese kanbun readings for all the selections. Glossaries of all vocabulary items and pronunciation indexes for modern Chinese and Korean are also included."
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.
An inspired gathering of religious writings that reveals the "divine reality" common to all faiths, collected by Aldous Huxley "The Perennial Philosophy," Aldous Huxley writes, "may be found among the traditional lore of peoples in every region of the world, and in its fully developed forms it has a place in every one of the higher religions." With great wit and stunning intellect—drawing on a diverse array of faiths, including Zen Buddhism, Hinduism, Taoism, Christian mysticism, and Islam—Huxley examines the spiritual beliefs of various religious traditions and explains how they are united by a common human yearning to experience the divine. The Perennial Philosophy includes selections from Meister Eckhart, Rumi, and Lao Tzu, as well as the Bhagavad Gita, Tibetan Book of the Dead, Diamond Sutra, and Upanishads, among many others.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Learning Chinese can be frustrating and difficult, partly because it's very different from European languages. Following a teacher, textbook or language course is not enough. They show you the characters, words and grammar you need to become proficient in Chinese, but they don't teach you how to learn them! Regardless of what program you're in (if any), you need to take responsibility for your own learning. If you don't, you will miss many important things that aren't included in the course you're taking. If you study on your own, you need to be even more aware of what you need to do, what you're doing at the moment and the difference between them. Here are some of the questions I have asked and have since been asked many times by students: How do I learn characters efficiently? How do I get the most out of my course or teacher? Which are the best learning tools and resources? How can I become fluent in Mandarin? How can I improve my pronunciation? How do I learn successfully on my own? How can I motivate myself to study more? How can I fit learning Chinese into a busy schedule? The answers I've found to these questions and many others form the core of this book. It took eight years of learning, researching, teaching and writing to figure these things out. Not everybody has the time to do that! I can't go back in time and help myself learn in a better way, but I can help you! This book is meant for normal students and independent language learners alike. While it covers all major areas of learning, you won't learn Chinese just by reading this book. It's like when someone on TV teaches you how to cook: you won't get to eat the delicious dish just by watching the program; you have to do the cooking yourself. That's true for this book as well. When you apply what you learn, it will boost your learning, making every hour you spend count for more, but you still have to do the learning yourself. This is what a few readers have said about the book: "The book had me nodding at a heap of things I'd learnt the hard way, wishing I knew them when I started, as well as highlighting areas that I'm currently missing in my study." - Geoff van der Meer, VP engineering "This publication is like a bible for anyone serious about Chinese proficiency. It's easy for anyone to read and written with scientific precision." - Zachary Danz, foreign teacher, children's theatre artist About me I started learning Chinese when I was 23 (that's more than eight years ago now) and have since studied in many different situations, including serious immersion programs abroad, high-intensity programs in Sweden, online courses, as well as on the side while working or studying other things. I have also successfully used my Chinese in a graduate program for teaching Chinese as a second language, taught entirely in Chinese mostly for native speakers (the Graduate Institute for Teaching Chinese as a Second Language at National Taiwan Normal University). All these parts have contributed to my website, Hacking Chinese, where I write regularly about how to learn Mandarin.
Specially designed for young adult and adult learners, this four-level beginner Mandarin Chinese course employs a communicative and integrated approach to Chinese language learning. Emphasis is placed on pair work, group work and on a variety of speaking and listening activities to help students become confident Chinese language speakers.
