Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Super Savings Item! Save 31% on the Deep Learning for Natural Language Processing: Creating Neural Networks with Python by Apress at Translate This Website. Hurry! Limited time offer. Offer valid only while supplies last. Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced
Product Description & Reviews
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system.This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways.What You Will LearnGain the fundamentals of deep learning and its mathematical prerequisitesDiscover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classificationWho This Book Is ForSoftware developers who are curious to try out deep learning with NLP.
Features & Highlights
|Item Size:||0.7 x 9.25 x 9.25 inches|
|Package Weight:||1.01 pounds|
|Package Size:||6.06 x 0.71 x 0.71 inches|
Have questions about this item, or would like to inquire about a custom or bulk order?
If you have any questions about this product by Apress, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.
Related Best Sellers
By Brookes Publishing
ean: 9781681252261, isbn: 1681252260,
Keep up with the latest on the highly respected multisensory teaching approach to literacy with this new fourth edition, a complete update of the bestselling textbook adopted in colleges and universities across the country. The most comprehensive text available on multisensory teaching, this book prepares today's educators to use specific evidence-based approaches that improve struggling students' language skills and academic outcomes in elementary through high school.Educators will get rich
By Behavior Analysts, Inc.
The Assessment of Basic Language and Learning Skills- Revised (The ABLLS®-R), is an assessment tool, curriculum guide, and skills-tracking system used to help guide the instruction of language and critical learner skills for children with autism or other developmental disabilities. It provides a comprehensive review of 544 skills from 25 skill areas including language, social interaction, self-help, academic and motor skills that most typically developing children acquire prior to entering
By O'Reilly Media
mpn: 42695641, ean: 9781491927281, isbn: 9781491927281,
Rust is a new systems programming language that combines the performance and low-level control of C and C++ with memory safety and thread safety. Rust’s modern, flexible types ensure your program is free of null pointer dereferences, double frees, dangling pointers, and similar bugs, all at compile time, without runtime overhead. In multi-threaded code, Rust catches data races at compile time, making concurrency much easier to use.Written by two experienced systems programmers, this book
ean: 9780262162289, isbn: 0262162288,
A thorough and accessible introduction to a range of key ideas in type systems for programming language.The study of type systems for programming languages now touches many areas of computer science, from language design and implementation to software engineering, network security, databases, and analysis of concurrent and distributed systems. This book offers accessible introductions to key ideas in the field, with contributions by experts on each topic.The topics covered include precise type