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Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition) - Softcover
- PublisherBPB Publications
- Publication date2021
- ISBN 10 9389898110
- ISBN 13 9789389898118
- BindingPaperback
- LanguageEnglish
- Number of pages404
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Getting started with Deep Learning for Natural Language Processing: Learn how to build NLP applications with Deep Learning (English Edition)
Seller: Omega, Springdale, AR, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. **PLEASE READ** Cover may have some rubbing, scratches, and or bends. There may be some highlighting handwriting in this book. The dust jacket may be missing. FAST shipping, FREE tracking, and GREAT customer service! We also offer EXPEDITED and TWO DAY shipping options on qualifying orders. Seller Inventory # 3D7E2G0049GL_ns
Quantity: 1 available
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Getting Started with Deep Learning for Natural Language Processing
Seller: Vedams eBooks (P) Ltd, New Delhi, India
Seller rating 4 out of 5 stars
Soft cover. Condition: New. Natural language processing (NLP) is one of the areas where many Machine Learning and Deep Learning techniques are applied. This book covers wide areas, including the fundamentals of Machine Learning, Understanding and optimizing Hyperparameters, Convolution Neural Networks (CNN), and Recurrent Neural Networks (RNN). This book not only covers the classical concept of text processing but also shares the recent advancements. This book will empower users in designing networks with the least computational and time complexity. This book not only covers basics of Natural Language Processing but also helps in deciphering the logic behind advanced concepts/architecture such as Batch Normalization, Position Embedding, DenseNet, Attention Mechanism, Highway Networks, Transformer models and Siamese Networks. This book also covers recent advancements such as ELMo-BiLM, SkipThought, and Bert. This book also covers practical implementation with step by step explanation of deep learning techniques in Topic Modelling, Text Generation, Named Entity Recognition, Text Summarization, and Language Translation. In addition to this, very advanced and open to research topics such as Generative Adversarial Network and Speech Processing are also covered. Seller Inventory # 140583
Quantity: 5 available