More Information
  • Get up and running with Tensorflow.js quickly by working on pre-trained Deep Learning models
  • Explore effective ways to solve common Machine Learning problems
  • Get great results by using pre-trained models while saving time
  • Discover how to use transfer learning to quickly improve your model’s performance
  • Train your own model to become the best choice to use by increasing its efficiency

In this course, you’ll learn how to use Tensorflow.js for a variety of the most popular Deep Learning tasks and use it in your own web browser.

You’ll start by learning how to classify images using commonly used Convolutional Neural Networks. And you’ll get up and running fast using a pre-trained model. Then you’ll explore yet another popular deep learning architecture called Long short-term memory Recurrent Neural Network. This time you’ll classify text typed by a user in real time.

Moving on, you’ll work with audio data using a specific type of CNN. Then we’ll jump into methods to improve the results of our models by firstly looking at transfer learning. Here you’ll improve the performance of your model quickly by using a pre-trained model as a base and performing short, focused training.
By the end of this course, you’ll have the skills to use Tensorflow.js and train your own personal models using only a web browser.

Github Link :

Style and Approach

In this course, you’ll learn how to use Tensorflow.js in a web browser for your own projects. Each section is carefully planned and tailored to help you develop a strong understanding of the concepts and see them in action along with step-by-step instructions and assignments, giving you a hands-on experience.

  • Get up and running with Tensorflow.js quickly with practical real-world examples in a web browser
  • Tackle the most common Machine Learning problems using Tensorflow.js
  • Discover how to quickly include Deep Learning functionality in your own web applications in a web browser using pre-trained models
Course Length 2 hours 50 minutes
ISBN 9781838824587
Date Of Publication 29 Apr 2019


Jakub Konczyk

Jakub Konczyk has enjoyed and programmed professionally since 1995. He is a Python and Django expert and has been involved in building complex systems since 2006. He loves to simplify and teach programming subjects and share this with others. He first discovered Machine Learning when he was trying to predict the real estate prices in one of the early stage start-ups, he was involved in. He failed miserably then. He then discovered a much more practical way to learn Machine Learning, which he would like to share with you in this course. It boils down to the “Keep it simple” mantra. He is the author of multiple bestselling video courses on Machine Learning and Deep Learning, including Real-World Deep Learning Python Projects and AI in Finance. Learn more at