July 2018
Beginner to intermediate
312 pages
8h 31m
English
Overview
Dive into the world of Natural Language Processing (NLP) and learn how to apply deep learning techniques to solve real-world linguistic challenges. This hands-on guide provides a step-by-step approach to leveraging cutting-edge tools such as TensorFlow and NLTK. You will explore concepts like CNNs, RNNs, and semantic embedding to build applications ranging from chatbots to sentiment analysis.
What this Book will help me do
- Discover the core concepts of NLP, including semantic embeddings and neural network basics.
- Learn to implement NLP tasks using TensorFlow, leveraging models such as RNNs and CNNs.
- Develop applications like text classification, sentiment analysis, and question-answering systems.
- Master techniques to convert voice-to-text and vice versa using models like Tacotron.
- Gain expertise in building and deploying NLP applications using Python's powerful libraries.
Author(s)
None Arumugam, None Shanmugamani, None Byiringiro, None Joshi, and None Muthuswamy are experienced authors and practitioners in the field of deep learning and NLP. With years of combined industrial and academic expertise, they bring to you a practical guide filled with real-world applications and insights. Their focus on hands-on instructions makes it an engaging and valuable resource.
Who is it for?
This book is perfect for developers, NLP engineers, and machine learning practitioners interested in enhancing their skills in natural language processing with deep learning. Whether you're looking to develop chatbots, perform sentiment analysis, or build voice-processing systems, this guide caters to professionals with fundamental knowledge of machine learning and Python.
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