Home Application-development Building Natural Language Applications with TensorFlow [Video]

Building Natural Language Applications with TensorFlow [Video]

By Kaiser Hamid Rabbi
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50+ new titles added every month on new and emerging tech
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50+ new titles added every month on new and emerging tech
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Download this book in EPUB and PDF formats
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Stream this video
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What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Access these resources with our interactive certification platform
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About this video

Do you want your machine to analyze, understand, and generate human speech? Do you want to build chatbots? NLP is the next step in bridging many concerns that users, businesses, and developers experience with customer service.

Chatbots are making it easier and replacing humans everywhere in social media, websites, stores, and even business-to-business conversations. With a less talk and more action approach, this course will lead you through various implementations of NLP techniques by implementing end-to-end deep learning models and creating an intelligent chatbot on our own.

Get your hands on this course to learn the most fascinating technology in the field of AI and leverage the power of TensorFlow right away!

The codes of this course can be found on GitHub: https://github.com/PacktPublishing/-Building-Natural-Language-Applications-with-TensorFlow

Style and Approach

This hands-on course covers all the important aspects of Natural Language Processing and Deep Learning models with TensorFlow. Throughout the course, you'll build an intelligent chatbot with step-by-step instructions to implement them following the intuition topics.

Publication date:
October 2018
Publisher
Packt
Duration
2 hours 3 minutes
ISBN
9781789539745

About the Author
  • Kaiser Hamid Rabbi

    Kaiser Hamid Rabbi is a Data Scientist who is super-passionate about Artificial Intelligence, Machine Learning, and Data Science. He has entirely devoted himself to learning more about Big Data Science technologies such as Python, Machine Learning, Deep Learning, Artificial Intelligence, Reinforcement Learning, Data Mining, Data Analysis, Recommender Systems and so on over the last 4 years. Kaiser also has a huge interest in Lygometry (things we know we do not know!) and always tries to understand domain knowledge based on his project experience as much as possible.
    LinkedIn - https://www.linkedin.com/in/kaiserhamidrabbi/

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Building Natural Language Applications with TensorFlow [Video]
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