[Packt] Interactive Chatbots with TensorFlow [FCO]

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[FreeCoursesOnline.Me] [Packt] Interactive Chatbots with TensorFlow [FCO] 1 - NLP Practices for Chatbot Development
  • 01 - The Course Overview.mp4 (18.8 MB)
  • 02 - Tokenization.mp4 (35.7 MB)
  • 03 - Stemming.mp4 (8.2 MB)
  • 04 - Lemmatization.mp4 (5.1 MB)
  • 05 - Vectorization.mp4 (9.3 MB)
  • 06 - Word Embedding.mp4 (7.0 MB)
  • 07 - Named Entity Recognition.mp4 (5.6 MB)
  • 08 - Text Classification.mp4 (4.5 MB)
2 - Building a Retrieval-Based Chatbot
  • 09 - Understanding Retrieval-Based Chatbots.mp4 (5.8 MB)
  • 10 - Choosing the Ideal Similarity Measures.mp4 (5.8 MB)
  • 11 - Preparing Data for Your First Retrieval Chatbot.mp4 (1.9 MB)
  • 12 - Building Your First Functional Chatbot.mp4 (6.6 MB)
3 - Integrating Neural Networks
  • 13 - Implementing Linear Models.mp4 (15.9 MB)
  • 14 - Transitioning from Linear Models to Nonlinear Neural Networks.mp4 (5.5 MB)
  • 15 - Understanding Overfitting and Regularization.mp4 (28.4 MB)
  • 16 - Training Word2vec Models.mp4 (11.5 MB)
  • 17 - Deploying Recurrent Neural Networks (RNNs).mp4 (1.9 MB)
  • 18 - Applying LSTM to Named Entity Recognition.mp4 (25.4 MB)
  • 19 - Text Classification Using LSTM.mp4 (21.2 MB)
4 - Generative Chatbots - Chatbots of the future
  • 20 - Understanding Generative Chatbots.mp4 (2.5 MB)
  • 21 - Incorporating Sequence2Sequence Models.mp4 (2.8 MB)
  • 22 - Preparing Data for the Model.mp4 (14.1 MB)
  • 23 - Preprocessing the Data.mp4 (14.8 MB)
  • 24 - Building the Encoder.mp4 (22.8 MB)
  • 25 - Building the Decoder.mp4 (4.6 MB)
  • 26 - Training and Evaluating the Model.mp4 (12.1 MB)
  • 27 - Deploying the Chatbot.mp4 (8.6 MB)
5 - Making Your Chatbot Attentive
  • 28 - Understanding Attention.mp4 (3.4 MB)
  • 29 - Attention Mechanisms in Images.mp4 (3.9 MB)
  • 30 - Soft versus Hard Attention.mp4 (1.7 MB)
  • 31 - Implementing Attention.mp4 (2.7 MB)
  • 32 - Adding Attention to Our seq2seq Model.mp4 (9.1 MB)
  • 33 - Training and Evaluating the Model.mp4 (33.2 MB)
6 - Contextual Generative Chatbots
  • 34 - What Is Context.mp4 (2.6 MB)
  • 35 - Comparing States and Transitions.mp4 (3.8 MB)
  • 36 - Complete System Overview.mp4 (2.4 MB)
  • 37 - Building a Contextually Aware System.mp4 (37.8 MB)
  • 38 - Conclusion.mp4 (27.8 MB)
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Description



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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435.8 MB
seeders:16
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[Packt] Interactive Chatbots with TensorFlow [FCO]


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