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[FreeCoursesOnline.Me] [Packt] Interactive Chatbots With TensorFlow [FCO]
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By : Omar Essam Released : Thursday, January 31, 2019 New Release! Torrent Contains : 45 Files, 6 Folders Course Source : https://www.packtpub.com/big-data-and-business-intelligence/interactive-chatbots-tensorflow-video
Build chatbots of the future. Create sophisticated conversational agents using NLP and TensorFlow
Video Details
ISBN 9781789613308 Course Length 2 hours 3 minutes
Table of Contents
• NLP PRACTICES FOR CHATBOT DEVELOPMENT • BUILDING A RETRIEVAL-BASED CHATBOT • INTEGRATING NEURAL NETWORKS • GENERATIVE CHATBOTS: CHATBOTS OF THE FUTURE • MAKING YOUR CHATBOT ATTENTIVE • CONTEXTUAL GENERATIVE CHATBOTS
Video Description
Have you ever waited for a long time to get a solution from a customer care executive? Also, wouldn't it be nice to have a personal assistant handy to help you with queries and give suggestions? Chatbots provides solutions to these issues.
This course will show you how to create chatbots based on two models. You will design a user-friendly chatbot which responds using perfect grammar and informative answers from a predefined database. You will also learn how to build chatbots that form the answers themselves without having to look into a database. You will also understand the capabilities, and overcome the limitations, of each chatbot. This helps to reduce the need for human effort and costs. Using a chatbot will help scale your business and improve customer relations.
By the end of the course, you'll be able to build smart chatbots that are always ready to provide solutions.
All the code files for this course are available on Github at - https://github.com/PacktPublishing/Interactive-Chatbots-with-TensorFlow-
Style and Approach
This course will take you from implementing NLP to building state-of-the-art chatbots using TensorFlow. The course is a set of notebooks containing experiments and small projects in which we apply what we learn incrementally.
What You Will Learn
• Design chatbots using cutting-edge NLP algorithms and the latest TensorFlow frameworks from the industry • Build chatbots that are able to handle hundreds of customer queries at a time • Develop generative chatbots which follow the flow of the conversation and respond appropriately • Make your chatbots contextually aware and attentive, to provide solutions quickly and easily • Gain customer insights and provide feedback to improve customer satisfaction • Employ chatbots that help businesses reduce the staff required, thus saving money • Automate repetitive tasks (through chatbots) that are otherwise prone to errors if done by humans
Authors
Omar Essam
Omar Essam is a data scientist with a passion for technology and Artificial Intelligence. He currently holds a Bachelor's degree in Computer Engineering and has worked in Natural Language Processing.
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FILE LIST
Filename
Size
1 - NLP Practices for Chatbot Development/01 - The Course Overview.mp4
18.8 MB
1 - NLP Practices for Chatbot Development/02 - Tokenization.mp4
35.7 MB
1 - NLP Practices for Chatbot Development/03 - Stemming.mp4
8.2 MB
1 - NLP Practices for Chatbot Development/04 - Lemmatization.mp4
5.1 MB
1 - NLP Practices for Chatbot Development/05 - Vectorization.mp4
9.3 MB
1 - NLP Practices for Chatbot Development/06 - Word Embedding.mp4
7 MB
1 - NLP Practices for Chatbot Development/07 - Named Entity Recognition.mp4
5.6 MB
1 - NLP Practices for Chatbot Development/08 - Text Classification.mp4
4.5 MB
2 - Building a Retrieval-Based Chatbot/09 - Understanding Retrieval-Based Chatbots.mp4
5.8 MB
2 - Building a Retrieval-Based Chatbot/10 - Choosing the Ideal Similarity Measures.mp4
5.8 MB
2 - Building a Retrieval-Based Chatbot/11 - Preparing Data for Your First Retrieval Chatbot.mp4
1.9 MB
2 - Building a Retrieval-Based Chatbot/12 - Building Your First Functional Chatbot.mp4
6.6 MB
3 - Integrating Neural Networks/13 - Implementing Linear Models.mp4
15.9 MB
3 - Integrating Neural Networks/14 - Transitioning from Linear Models to Nonlinear Neural Networks.mp4
5.5 MB
3 - Integrating Neural Networks/15 - Understanding Overfitting and Regularization.mp4
28.4 MB
3 - Integrating Neural Networks/16 - Training Word2vec Models.mp4