Contextual Chatbot with TensorFlow, Node.js and Oracle JET – Steps How to Install and Get It Working by Andrejus Baranovskis

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Blog reader was asking to provide a list of steps, to guide through install and run process for chatbot solution with TensorFlow, Node.JS and Oracle JET.
Resources:
1. Chatbot UI and context handling backend implementation – Machine Learning Applied – TensorFlow Chatbot UI with Oracle JET Custom Component
2. Classification implementation – Classification – Machine Learning Chatbot with TensorFlow
3. TensorFlow installation – TensorFlow – Getting Started with Docker Container and Jupyter Notebook
4. Source code – GitHub
Install and run steps:
1. Download source code from GitHub repository:

2. Install TensorFlow and configure Flask (TensorFlow Linear Regression Model Access with Custom REST API using Flask)

 

 

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Technorati Tags: PaaS,Cloud,Middleware Update,WebLogic, WebLogic Community,Oracle,OPN,Jürgen Kress

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