000 | 02241nam a22002057a 4500 | ||
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020 | _a9789389898118 | ||
041 | _aENG | ||
082 |
_a006.35 _bPAT |
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100 | _aPatel Sunil. | ||
245 |
_aGetting started with deep learning for natural language processing: _blearn how to build NLP applications with deep learning / _cSunil Patel. |
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250 | _a1st ed. | ||
260 |
_aNew Delhi: _bPB Publications, _c2021. |
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300 |
_axxi, 382 pages : _bIllustrations ; _c24 cm. |
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504 | _aIncludes Index. | ||
505 | _aUnderstanding the basics of learning Process Text Processing Techniques Representing Language Mathematically Using RNN for NLP Applying CNN In NLP Tasks Accelerating NLP with Advanced Embeddings Applying Deep Learning to NLP tasks Application of Complex Architectures in NLP Understanding Generative Networks Techniques of Speech Processing The Road Ahead | ||
520 | _aNatural 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. | ||
650 | _aNatural Language Processing | ||
650 | _aArtificial Intelligence | ||
942 |
_2ddc _cBK |
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999 |
_c23742 _d23742 |