Hands-On Machine Learning with TensorFlow.js [Video]

More Information
  • Solve real-world problems such as predicting mental health issues
  • Use clustering algorithms to understand customer behavior and categorize customers
  • Train your machine learning models and work with different kinds of data
  • Work with powerful algorithms using the pre-written libraries in Python
  • Recognize images using a webcam
  • Get insights into how neural networks work
  • Boost your model performance

Machine learning is a growing and in-demand skill, but so far JavaScript developers have not been able to take advantage of it due to the steep learning curve involved in learning a new language. TensorFlow.js is a great way to begin learning machine learning in the browser with TensorFlow.js. It allows you to operate offline to train new models and retrain existing models.

This course covers most of the major topics in machine learning and explains them with the help of Tensorflow.js implementations. The course is focused on the result-oriented nature of most JavaScript developers, and focuses on Tensorflow.js to the fullest in the least amount of time.

At the end of the course, you’ll evaluate and implement the right model to design smarter applications.

The code files are placed at:


  • Covers a broad range of topics in machine learning including the trending areas of Deep Neural Networks and Convolutional Neural Networks
  • A hands-on application-focused course that provides an intuitive understanding of many machine learning algorithms
  • Learn to build and train different machine learning models on the browser or a node js server
Course Length 2 hours 8 minutes
ISBN 9781789613155
Date Of Publication 30 Dec 2018


Arish Ali

Contacted on 09/02/18 by Kushal Dave