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Machine Learning with TensorFlow js

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Build and train machine learning models using TensorFlow.js for real-time web applications and browser-based AI solutions
  • Implement data preprocessing, normalization, and feature extraction techniques for effective machine learning in JavaScript environments
  • Deploy and optimize machine learning models directly in web browsers for improved user experience and reduced server load
  • Integrate TensorFlow.js models with existing JavaScript frameworks to create interactive, intelligent web applications
  • Evaluate model performance using metrics like accuracy, precision, and recall within JavaScript-based machine learning workflows
  • Troubleshoot common issues in JavaScript machine learning projects, ensuring robust and scalable AI solutions

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Lessons | 6


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priyanka chikhale 

Overall, I highly recommend this course to anyone looking to deepen their understanding of the Tensorflow Framework. Thank you for providing such a valuable learning experience!
2024-04-03

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Most Machine Learning applications these days use R or Python. But JavaScript has a great future as an Machine Learning language, and it even has some advantages: JavaScript is better known. All developers can use it .