natural language processing pytorch (84 resultados)

Condición: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Digital download. Condición: New.

hardcover. Condición: Very Good.

Condición: New. In.

Condición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was deemed necessary to catch up with the recent breakthroughs, and the author discusses models and architectures that have been instrumental in the recent progress of Natural Language Processing.As in the first two editions, the intention is to expose the reader to the theories used in Natural Language Processing, and to programming examples that are essential for a deep understanding of the concepts. Although present in the previous two editions, Machine Learning is now even more pregnant, having replaced many of the earlier techniques to process text. Many new techniques build on the availability of text.Using Python not Elektronisches Buch, the reader will be able to load small corpora, format text, apply the models through executing pieces of code, gradually discover the theoretical parts by possibly modifying the code or the parameters, and traverse theories and concrete problems through a constant interaction between the user and the machine. The data sizes and hardware requirements are kept to a reasonable minimum so that a user can see instantly, or at least quickly, the results of most experiments on most machines.The book does not assume a deep knowledge of Python, and an introduction to this language aimed at Text Processing is given in Ch. 2, which will enable the reader to touch all the programming concepts, including NumPy arrays and PyTorch tensors as fundamental structures to represent and process numerical data in Python, or Keras for training Neural Networks to classify texts. Covering topics like Word Segmentation and Part-of-Speech and Sequence Annotation, the textbook also gives an in-depth overview ofTransformers (for instance, BERT), Self-Attention and Sequence-to-Sequence Architectures.

paperback. Condición: New. Paperback. Pub Date: 2024-03 Pages: 324 Publisher: China Machine Press The PyTorch Guide to Deep Learning series explains in detail and in a step-by-step manner the important concepts. algorithms. and models related to deep learning. and focuses on how PyTorch implements these algorithms and models. It is divided into three volumes: Programming Basics. Computer Vision. and Sequence and Natural Language Processing. This book is the third volume of the series: Sequence and Natural Language Proc.

paperback. Condición: New. Paperback. Pub Date: 2020-07-01 Pages: 260 Language: Chinese Publisher: China Electric Power Press exploring computation graph and supervised learning paradigm. PyTorch optimization master basic tensor library. Overview of traditional NLP concepts and methods. Learn to build a basic idea of ??neural networks. Checker feedforward neural network. such as a multilayer perceptron. Use embedded .

paperback. Condición: New. Paperback. Pub Date: 2022-11-01 Pages: 267 Language: Chinese Publisher: People's Posts and Telecommunications Press uses PyTorch to explore natural language processing and machine learning! This is an entry-level tutorial that takes into account both theoretical foundation and engineering practice. Based on PyTorch. it reveals the principles of natural language processing. depicts the classic academic research context. shows the details of technology and application through practice and proje.

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2022-11-01 Pages: 308 Publisher: China Water Conservancy and Hydropower Publishing House PyTorch Deep Learning Target Detection starts with the development history of the artificial intelligence industry and the image world in the eyes of machines. and gradually guides readers Enter the image processing of machine learning; then explain the main algorithm for object detection in deep learning. and the neural network built on the basis of the PyTorch frame.

Condición: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental materials.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.