Building Your First Chatbot Using Rasa Framework 2.0

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Learn how to train Rasa NLU & define Intents and Entities.

Learn to define training data for Dialogue Management Using Stories & Rules.

Build Actions Server to run Python Code for responses.

Clock2 hours
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

In this 2-hour long project-based course, you will learn how to create a chatbot assistant using the Open Source Chatbot Framework Rasa. Rasa is a free-to-use chatbot building framework developed in Python. In the project, we will be building a shopping chatbot which will help users with suggestions of laptops and phones based on their preference and budget. We will look at how to what’s Rasa NLU, a natural language understanding tool by Rasa. Then we will be looking at what’s Rasa Core which is a dialogue management system developed by Rasa. We will be building a shopping bot which will suggest products based on the user’s input. We will look at how to define intents, entities, writing training data for Rasa Core using Rules & Stories (example conversations). We will look at NLU training pipeline then learn how to define custom actions which can run Python code for a response. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

Deep LearningNatural Language ProcessingChatbotrasa

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Introduction to Rasa & Rasa NLU & Rasa Command Line Tool

  2. Rasa NLU And Defining Intents & Entities

  3. Entity Synonyms, Training Pipeline & Training the Model

  4. Defining Custom Actions

  5. Defining Domain - The Bots Universe

  6. Providing Training Data Using Stories & Rules And Defining Policies.

  7. Training the Chatbot

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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자주 묻는 질문

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