Google AI for JavaScript developers with TensorFlow.js
Provides a hands-on approach to implementing machine learning with JavaScript and TensorFlow.js for a variety of applications.
html,artificial intelligence,deep learning,javascript,css,server-side,web applications,internet of things,machine learning,web engineering,basic math,ai & machine learning
Description for Google AI for JavaScript developers with TensorFlow.js
Machine Learning Fundamentals and TensorFlow.js Overview: Discover common machine learning terms, the benefits of using JavaScript for machine learning, and become acquainted with TensorFlow.JS.
Building and Using Machine Learning Models: Learn how to build simple custom models, use pre-made models, and apply transfer learning to adapt existing models to new data.
Working with Neural Networks and Tensors: Learn about perceptrons, linear regression, multi-layered perceptrons, and convolutional neural networks, as well as how to use tensors in model implementation.
Practical Applications and Model Conversion: Learn how to convert Python-based models to JavaScript and explore real-world projects to inspire future ideas.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by Google
Duration: 3�4 hours per week approx 7 weeks
Schedule: Flexible
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