Building Natural Language Applications with TensorFlow [Video]

More Information
Learn
  • Get grips on various NLP techniques while building an intelligent Chatbot using TensorFlow to help you transform online businesses
  • A solid understanding of natural language processing intuitions and its functioning
  • Optimize performance and efficiency by implementing end to end deep learning models
  • Working on sequence-to-sequence models (used in translation) that reads one sequence and produces another
  • Using bag-of-words model as a way of representing textual data
  • Build a recurrent neural network for language modeling
About

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.

Features
  • Master Google's TensorFlow framework by building an intelligent chatbot using Natural Language Processing and Deep Learning model
  • Get complete exposure to all the important aspects of Natural Language Processing and Deep Learning models with TensorFlow
  • This course is designed with minimal theory and maximal practical implementation, followed by step-by-step instructions to get you up-and-running
Course Length 2 hours 3 minutes
ISBN 9781789539745
Date Of Publication 31 Oct 2018

Authors

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/