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prerequisites
basics of JavaScript • basics of HTML • basics of React • basics of TensorFlow.js • basics of machine learning and web development
skills learned
creating a React web app and analyzing app structure • creating a basic UI and event listeners in React • constructing a neural network model with TensorFlow.js
Andrej Baranovskij
1 week · 4-6 hours per week · INTERMEDIATE
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Look inside
In this liveProject you’ll create a React web application and then integrate TensorFlow.js machine learning functionality into the app. React is highly prized by developers for its ease of building simple and intuitive frontends. Once you’ve set up your development environment and built your React-based UI, you’ll train your TensorFlow.js model with synthetic data.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Andrej Baranovskij
Andrej Baranovskij is a TensorFlow-certified developer who runs his own machine learning startup company Katana ML. Andrej is responsible for building machine learning products for enterprise operations automation. Previously, he spent 15 years working with Oracle technology and building various enterprise systems across the globe. His software development experience allows to bridge a gap between machine learning and software development.

prerequisites

This liveProject is for both web developers and machine learning engineers. Web developers experienced with JavaScript will learn how to integrate TensorFlow into their applications, while ML engineers will be interested in developing their skills for user interfaces.

TOOLS
  • Basics of JavaScript
  • Basics of HTML
  • Basics of Node.js, NPM, and Yarn
  • Basics of React
  • Basics of TensorFlow.js
  • Visual Studio Code
TECHNIQUES
  • Basics of machine learning
  • Basics of web development with HTML/JavaScript

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