Natural language processing practice (40 Ergebnisse)

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paperback. Zustand: New. Language:Chinese.Paperback.Pub Date:2023-12 Pages:216 Publisher:Tsinghua University Press This book is a practical NLP tutorial based on the PaddlePaddle deep learning framework. It covers knowledge in multiple fields. including text representation. text classification. text matching. information extraction. machine translation. automatic summarization. machine reading comprehension. chatbot design and implementation. as well as practical cases of various classic algorithms. This book is writ.…

paperback. Zustand: New. Paperback. Pub Date: 2022-01-01 Pages: 152 Publisher: Tsinghua University Press The ultimate goal is to study a series of theories and technologies that can realize the communication between humans and computers using natural language. This book combines basic theory and programming practice. It can be used as a practical textbook or reference book for senior undergraduates or graduate students in computer. information technology and other related majors in colleges and universities. It can a.…

paperback. Zustand: New. Paperback.Pub Date:2023-04 Pages:240 Publisher:Tsinghua University Press This book comprehensively explains the tool set datasets and transformers provided by the HuggingFace community. The book includes use case demonstrations of the basic tool set. as well as specific project practices. as well as an introduction to the underlying design ideas and implementation principles of pre-trained models. Through the study of this book. readers can quickly master the use of the HuggingFace tool set. .…

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Taschenbuch. Zustand: Neu. Neuware - NVIDIA's Full-Color Guide to Deep Learning: All StudentsNeed to Get Started and Get Results Learning Deep Learning is a complete guide to DL.Illuminating both the core concepts and the hands-on programming techniquesneeded to succeed, this book suits seasoned developers, data scientists,analysts, but also those with no prior machine learning or statisticsexperience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers,Magnus Ekman shows how to use them to build advanced architectures, includingthe Transformer. He describes how these concepts are used to build modernnetworks for computer vision and natural language processing (NLP), includingMask R-CNN, GPT, and BERT. And he explains how a natural language translatorand a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples usingTensorFlow with Keras. Corresponding PyTorch examples are provided online, andthe book thereby covers the two dominating Python libraries for DL used inindustry and academia. He concludes with an introduction to neural architecturesearch (NAS), exploring important ethical issues and providing resources forfurther learning. - Exploreand master core concepts: perceptrons, gradient-based learning, sigmoidneurons, and back propagation - See how DL frameworks make it easier to developmore complicated and useful neural networks - Discover how convolutional neuralnetworks (CNNs) revolutionize image classification and analysis - Apply recurrentneural networks (RNNs) and long short-term memory (LSTM) to text and othervariable-length sequences - Master NLP with sequence-to-sequence networks and theTransformer architecture - Build applications for natural language translation andimage captioning.…

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Taschenbuch. Zustand: Neu. Learning Deep Learning | Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow | Magnus Ekman | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Pearson | EAN 9780137470358 | Verantwortliche Person für die EU: Pearson, St.-Martin-Str. 82, 81541 München, salesde[at]pearson[dot]com | Anbieter: preigu.…

paperback. Zustand: New. Paperback.Pub Date:2023-04 Pages:228 Publisher:Machinery Industry Press In recent years. artificial intelligence based on deep learning has set off a learning boom. Python is the most widely used natural language processing (NLP) language. This book starts with an overview of NLP and introduces methods for dividing text into sentences. stemming and lemmatization. removing stop words. and part-of-speech tagging to help you prepare data. Then. you will learn methods for extracting and represent.…

paperback. Zustand: New. Paperback. Pub Date: 2023-05 Pages: 356 Publisher: Tsinghua University Press Deep Sequence Model and Natural Language Processing: Based on TensorFlow2 Practice uses natural language and speech signal processing as two major application fields to introduce various commonly used sequence models in deep learning in detail. While explaining theoretical knowledge. it is supplemented with code implementation and explanation to help readers master relevant knowledge and skills in depth. Deep Sequenc.…

paperback. Zustand: New. Paperback.Pub Date:2023-03 Pages:284 Publisher:Electronic Industry Press This book systematically introduces natural language processing and deep learning. and combines practical application scenarios and comprehensive cases to explain the relevant knowledge in the field of natural language processing in an easy-to-understand way. The book has 15 chapters and is divided into 4 parts. Part 1 is the foundation of natural language processing. It first introduces the relevant concepts and basic s.…

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