Pose Estimation with TensorFlow.js

Code the UI with Material you own this product

This project is part of the liveProject series Human Pose Estimation with TensorFlow.js and React
prerequisites
basics of JavaScript • basics of HTML • basics of React •basics of machine learning and web development
skills learned
adding Material-UI to React project • building grid layout structure • building page elements • building form elements
Andrej Baranovskij
1 week · 4-6 hours per week · INTERMEDIATE
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liveProject This project is part of the liveProject series Human Pose Estimation with TensorFlow.js and React liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $19.99 $29.99 you save $10 (33%)
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In this liveProject you’ll use ReactJS to build an entire user interface for a machine learning-powered exercise app. Your app records its users while they exercise, and so needs to have a short delay between them pressing a button and the start of recording. You’ll use Material-UI for React to implement layout, form elements, buttons, and user messages, and set up the UI logic for your delayed training data capture.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

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

you will learn

In this liveProject, you’ll learn to use Material UI to create a user interface for a React app.

  • Adding Material-UI to React project
  • Building grid layout structure
  • Building page elements
  • Building form elements
  • Implementing UI logic to handle user input
  • Building UI elements to display system feedback to a user

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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