|
[ FreeCourseWeb.com ] Deep Learning for Natural Language Processing (MEAP V7)
Read More Stuff Visit and Support Us -->> https://FreeCourseWeb.com
English | 2019 | ISBN-13: 9781617295447 | 266 Pages | True (EPUB, MOBI) | 10.25 MB
Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Through detailed instruction and abundant code examples, you’ll explore the most challenging NLP issues and learn how to solve them with deep learning!
About the Technology
Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning. These breakthroughs, including recognizing patterns, inferring meaning from context, and determining emotional tone, are radically improving modern daily conveniences like web searches, social media feeds, and interactions with voice assistants. And they’re transforming the business world too!
A goldmine of unstructured textual data already exists, largely untapped simply because it doesn’t follow any predefined format. NLP is poised to conquer that data with its impressive abilities to scan for keywords and phrases and discern sentiment and preferences. And as the big data trend continues, opportunities to capitalize on the benefits of NLP abound as efforts are being made to ensure data is increasingly user-friendly. What’s more, this game-changing tech can dovetail with your business apps, offering potential for automated summaries, chatbots with near-human responses, and search that practically reads the user’s mind. All this is possible when deep learning meets natural language processing!
About the book
Deep Learning for Natural Language Processing teaches you to apply state-of-the-art deep learning approaches to natural language processing tasks. You’ll learn key NLP concepts like neural word embeddings, auto-encoders, part-of-speech tagging, parsing, and semantic inference. Then you’ll dive deeper into advanced topics including deep memory-based NLP, linguistic structure, and hyperparameters for deep NLP. Along the way, you’ll pick up emerging best practices and gain hands-on experience with a myriad of examples, all written in Python and the powerful Keras library. By the time you’re done reading this invaluable book, you’ll be solving a wide variety of NLP problems with cutting-edge deep learning techniques!
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Read More Stuff Visit and Support Us -->> https://FreeCourseWeb.com
Get Latest Tips and Tricks and Support Us -->> https://DevCourseWeb.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
|
|
udp://opentor.org:2710/announce udp://p4p.arenabg.com:1337/announce udp://tracker.torrent.eu.org:451/announce udp://tracker.cyberia.is:6969/announce udp://9.rarbg.to:2710/announc udp://explodie.org:6969/announce udp://tracker.moeking.me:6969/announce udp://tracker.opentrackr.org:1337/announce udp://tracker.tiny-vps.com:6969/announce udp://ipv4.tracker.harry.lu:80/announce udp://tracker.coppersurfer.tk:6969/announce udp://tracker.leechers-paradise.org:6969/announce udp://open.stealth.si:80/announce udp://tracker.pirateparty.gr:6969/announce udp://inferno.demonoid.is:3391/announce |
