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Machine Learning in JavaScript: Build Intelligent Apps with TensorFlow.js

Learn to Create, Train, and Deploy Machine Learning Models Directly in the Browser Using JavaScript and TensorFlow.js

39 learners are taking this course

  • professional
javascript
tensorflow
Tensorflow
tensorflow-js
JavaScript
transformer

What you will learn!

  • How to build and train machine learning models using TensorFlow.js entirely within JavaScript.

  • Techniques for deploying ML models directly in the browser to create interactive, intelligent web applications.

What Students Will Learn in This Course

  • The fundamentals of machine learning and how it applies to JavaScript development.

  • How to set up and use TensorFlow.js to build, train, and deploy machine learning models directly in the browser.

  • Techniques for processing and preparing data for machine learning tasks in JavaScript.

  • How to create different types of models such as classification, regression, and neural networks using TensorFlow.js APIs.

  • Methods to evaluate model performance and improve accuracy through tuning and experimentation.

  • Integration of machine learning models into interactive web applications for real-time predictions.

  • Understanding of browser-based computation limitations and optimization strategies.

  • How to use pre-trained models and transfer learning to speed up development.

  • Best practices for debugging, testing, and maintaining machine learning applications in JavaScript. JavaScript, transformer, Tensorflow, tensorflow-js .

  • Practical projects that demonstrate end-to-end workflows from data to deployment.

  • Knowledge of deploying models for both client-side and server-side JavaScript environments.

Highlights of the Course

  • Clear introduction to machine learning concepts tailored for JavaScript developers.

  • Step-by-step guidance on setting up TensorFlow.js in browser and Node.js environments.

  • Hands-on projects covering data preprocessing, model building, training, and evaluation.

Javascript By Example

  • Detailed tutorials on creating various ML models including neural networks, classifiers, and regressors.

  • Techniques for integrating ML models into interactive web applications for real-time user interaction.

  • Exploration of pre-trained models and transfer learning to accelerate development.

Javascript + TensorFlow

FAQ

Frequently Asked Questions

Q: Do I need to know how to code before taking this course?
A: No. This course assumes zero Javascript tensorFlow or programming knowledge.

Q: Is this course suitable for beginners in JavaScript?
A: A basic understanding of JavaScript is recommended to keep up with the coding parts.

Q: Can I ask questions during the course?
A: Absolutely. You’ll have access to a Q&A section where you can ask anything and get help.

Recommended for
these people

Who is this course right for?

  • Have a basic understanding of JavaScript and web development to follow the coding exercises smoothly.

  • Practice building small machine learning projects to reinforce concepts and gain hands-on experience with TensorFlow.js.

Hello
This is

1,086

Learners

12

Reviews

2.9

Rating

17

Courses

I’m an experienced instructor with a strong background in web development, business strategy, and career management. I’ve helped individuals and companies build successful websites, launch and grow businesses, and navigate their professional paths with confidence. My approach combines real-world experience with practical teaching, offering learners the tools and strategies they need to achieve their goals — whether starting a business, building a digital presence, or advancing their careers.

Curriculum

All

8 lectures ∙ (10min)

Published: 
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