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    Advanced Natural Language Processing with TensorFlow 2. Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more Ashish Bansal

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Advanced Natural Language Processing with TensorFlow 2. Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more Ashish Bansal - okladka książki

    Advanced Natural Language Processing with TensorFlow 2. Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more Ashish Bansal - okladka książki

    Advanced Natural Language Processing with TensorFlow 2. Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more Ashish Bansal - audiobook MP3

    Advanced Natural Language Processing with TensorFlow 2. Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more Ashish Bansal - audiobook CD

    Autor:
    Ashish Bansal
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    380
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques.
    The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs.
    The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2.
    Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece.
    By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems.
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    O autorze książki

    Ashish is an AI/ML leader, a well-known speaker, and an astute technologist with over 20 years of experience in the field. He has a Bachelor's in technology from IIT BHU, and an MBA in marketing from Kellogg School of Management. He is currently the Director of Recommendations at Twitch where he works on building scalable recommendation systems across a variety of product surfaces, connecting content to people. He has worked on recommendation systems at multiple organizations, most notably Twitter where he led Trends and Events recommendations and at Capital One where he worked on B2B and B2C products. Ashish was also a co-founder of GALE Partners, a full-service digital agency in Toronto, and spent over 9 years at SapientNitro, a leading digital agency.

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