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Machine Learning in JavaScript with TensorFlow.js

Machine Learning in JavaScript with TensorFlow.js

Master machine learning with JavaScript and TensorFlowJS. Add artificial intelligence to websites, Node.js and web apps!

Created by tech.courses team, Justin Emery | 6.5 hours on-demand video course

This course has been designed by a specialist team of software developers who are passionate about using JavaScript with Machine Learning. We will guide you through complex topics in a practical way, and reinforce learning with in-depth labs and quizzes. Machine Learning in TensorFlow.js provides you with all the benefits of TensorFlow, but without the need for Python. This is demonstrated using web based examples, stunning visualisations and custom website components.

What you’ll learn

  • Machine Learning in Javascript and TensorFlowJS
  • Deep Learning and Neural Network concepts
  • Why TensorFlow for JavaScript is a game changer
  • Defining machine learning models
  • How to install and run TensorFlowJS
  • How TensorFlowJS is optimised
  • Training machine learning models
  • Data preparation for machine learning
  • How to make accurate predictions
  • Linear regression
  • Binary classification
  • Multi-class classification
  • Heatmap visualisation
  • Scatter-plot visualisation
  • Importing and normalising data
  • How to manage memory in TensorFlowJS
  • Tensor mathematics
  • Saving machine learning models
  • Inputting and outputting using a web browser
  • Javascript and machine learning integration
  • Shuffling, and splitting data
  • In-depth labs for practical development

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