دانلود کتاب Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language Processing – سیستم های پاسخگویی عملی به پرسش با BERT: کاربردها در شبکه های عصبی و پردازش زبان طبیعی

Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning.

The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, youll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, youll cover word embedding and their types along with the basics of BERT.

After this solid foundation, youll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. Youll see different BERT variations followed by a hands-on example of a question answering system.

Hands-on Question Answering Systems with BERT is a good starting point for developers and data scientists who want to develop and design NLP systems using BERT. It provides step-by-step guidance for using BERT.

What You Will Learn

Develop a question-answering system from scratch

Who This Book Is For

AI and machine learning developers and natural language processing developers.

درباره نحوه استفاده از BERT (بازنمایی‌های رمزگذار دوطرفه از ترانسفورماتورها) برای توسعه سیستم‌های پاسخگویی به سؤال (QA) با استفاده از پردازش زبان طبیعی (NLP) و یادگیری عمیق، به طور عملی اطلاعات کسب کنید.