Building Natural Language Applications with TensorFlow
.MP4, AVC, 280 kbps, 1920x1080 | English, AAC, 160 kbps, 2 Ch | 2h 3m | 502 MB
Instructor: Kaiser Hamid Rabbi

Build and interact with your intelligent chatbot with NLP!

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:
Kod:
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.

What You Will 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

More Info
Kod:
https://www.packtpub.com/application-development/building-natural-language-applications-tensorflow-video


Download link:
Kod:


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