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Subrat SaurabhAuthor of Kuch Woh PalDeep Learning for Natural Language Processing is a comprehensive guide that explores the intersection of deep learning techniques and natural language processing (NLP).
The book begins with an overview of fundamental NLP concepts and progresses into advanced deep learning architectures, including feedforward neural networks, recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and attention mechanisms. Each chapter offers clear explanations of the theory behind the models, followed by practical code examples using popular deep learning frameworks like TensorFlow and PyTorch.
Readers will learn how to preprocess text data, build word embeddings, and work with sequence models to handle real-world language data. The authors also cover cutting-edge techniques such as transformers, BERT, and GPT, which have revolutionized NLP tasks. Emphasizing both theory and hands-on practice, this book is ideal for students, researchers, and professionals looking to deepen their understanding of deep learning methods in the context of language.
By the end of the book, readers will be equipped with the skills to tackle a wide range of NLP problems using deep learning, and will gain a deeper appreciation for the powerful combination of deep learning and natural language processing in transforming industries like healthcare, finance, and customer service.
Mr. Ashish Suresh Patel
Mr. Ashish Suresh Patel
Assistant Professor (Computer Science and Engineering)
Parul Institute of Technology, Parul University, Vadodara, Gujarat
Dr. Rahul Sharma
Assistant Professor (Computer Science and Engineering)
Parul Institute of Technology, Parul University, Vadodara, Gujarat
Mr. Kapil Adhar Wagh
Assistant Professor (Information Technology)
Nutan Maharashtra Institute of Eng. and Tech. , Talegaon, Pune, Maharashtra
Mr. Shivaji P Patil
Assistant Professor (Computer Science and Engineering)
Pimpri Chinchwad, University, Maval, Pune, Maharashtra
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