Machine Learning in JavaScript with TensorFlow.js
4.4 (231 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,591 students enrolled

Machine Learning in JavaScript with TensorFlow.js

Master machine learning with JavaScript and TensorFlowJS. Add artificial intelligence to websites, Node.js and web apps!
Bestseller
4.4 (231 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,591 students enrolled
Last updated 4/2020
English
English
Current price: $139.99 Original price: $199.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 6.5 hours on-demand video
  • 23 articles
  • 7 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Machine Learning in Javascript and TensorFlowJS 2.0
  • Deep Learning and Neural Network concepts
  • Why TensorFlow for JavaScript is a game changer
  • Defining machine learning models
  • How to install and run TensorFlowJS 2.0
  • How TensorFlowJS 2.0 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 2.0
  • 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
Course content
Expand all 75 lectures 07:15:41
+ Introduction
6 lectures 32:46
Machine Learning Concepts
07:57
Overview of Artificial Neural Networks
10:08
Lab: TensorFlow Playground
01:11
TensorFlow.js and Machine Learning
3 questions
Summary
01:36
+ Installing and running TensorFlow.js
9 lectures 36:04
TensorFlow.js environments
04:30
Running TensorFlow.js in the browser
05:52
WebGL optimisations in TensorFlow.js
05:17
Running TensorFlow.js on Node.js
13:41
New: TensorFlow.js for React Native
00:33
Review
02:01
Lab: Install and run TensorFlow.js in the browser
01:05
Lab: Install and run TensorFlow.js on Node.js
01:40
TensorFlow environments and installation
3 questions
Summary
01:24
+ TensorFlow.js Core Concepts
7 lectures 34:03
TensorFlow.js APIs
05:18
What is a Tensor?
11:43
Tensor Math Operations & Ops API
04:02
Memory Management in TensorFlow.js
08:31
Review
01:52
Lab: Tensor Math and Memory Management
02:04
TensorFlow.js math and memory
5 questions
Summary
00:32
+ Data Preparation with TensorFlow.js
9 lectures 56:19
Linear Regression
06:35
Reading data from CSV
13:43
Preparing Features and Labels
03:47
Normalisation with TensorFlow.js
07:49
Splitting into Training and Testing data
10:41
Review
01:52
Lab: Prepare the Data
03:55
Data Preparation
3 questions
Summary
00:29
+ Defining a model
7 lectures 33:32
Introduction to Layers API
05:36
Creating Layers in TensorFlow.js
10:24
Inspecting a TensorFlow.js model
05:52
Compiling the model
07:37
Review
01:37
Lab: Creating a Model
01:18
TensorFlow.js Models
7 questions
Summary
01:07
+ Training and Testing in TensorFlow.js
7 lectures 30:23
Training with model.fit
05:27
Visualising loss with tfjs-vis
11:31
Testing with model.evaluate
06:13
Training and testing: review & lab
01:27
Lab: TensorFlow.js Training and Testing
00:48
Training and Testing
4 questions
Summary
00:25
+ TensorFlow.js Prediction
10 lectures 01:16:58
Integrating TensorFlow.js with a UI
19:01
Saving and loading a model
12:44
Making Predictions
07:47
Visualising Predictions
14:35
Non-linear Regression
13:37
Prediction: review & labs
02:06
Lab: TensorFlow.js predictions
04:40
TensorFlow.js predictions
5 questions
Lab: Beyond Linear Regression
00:48
Lab (optional): Training without Layers API
00:52
Summary
00:47
+ Binary Classification
9 lectures 01:13:48
Introduction: Binary Classification
05:20
Visualising Classification Data
19:24
Preparing Multiple Features
12:26
Binary Classification Model
05:18
Visualising Classification with Heatmaps
18:22
Binary Classification: Review & Lab
02:18
Lab: TensorFlow.js Binary Classification
04:37
Quiz: Binary Classification
4 questions
Summary
00:50
+ Multi-class Classification
8 lectures 44:15
Introduction: Multi-class Classification
08:04
One hot encoding
09:04
Multi-class classification model
04:37
Visualising Multi-class Predictions
13:05
Multi-class prediction
05:18
Multi-class Classification: Review & Lab
01:59
Lab: TensorFlow.js Multi-class Classification
01:46
Multi-class Classification
3 questions
Summary
00:22
+ Conclusion & Next Steps
3 lectures 17:29
Course Review
08:09
Next steps with TensorFlow.js
07:50
Resources for going deeper with TensorFlow.js
01:30
Requirements
  • Javascript basics
  • Some high school maths (but we give links if you need a refresher!)
Description

Updated for 2020!

Interested in using Machine Learning in JavaScript applications and websites? Then this course is for you!

This is the tutorial you've been looking for to become a modern JavaScript machine learning master in 2020. It doesn’t just cover the basics, by the end of the course you will have advanced machine learning knowledge you can use on you resume. From absolute zero knowledge to master - join the TensorFlow.js revolution.

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.

Throughout the course we use house price data to ask ever more complicated questions; “can you predict the value of this house?”, “can you tell me if this house has a waterfront?”, “can you classify it as having 1, 2 or 3+ bedrooms?”. Each example builds on the one before it, to reinforce learning in easy and steady steps.

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.

This course is fun and engaging, with Machine Learning learning outcomes provided in bitesize topics:

  • Part 1 - Introduction to TensorFlow.js

  • Part 2 - Installing and running TensorFlow.js

  • Part 3 - TensorFlow.js Core Concepts

  • Part 4 - Data Preparation with TensorFlow.js

  • Part 5 - Defining a model

  • Part 6 - Training and Testing in TensorFlow.js

  • Part 7 - TensorFlow.js Prediction

  • Part 8 - Binary Classification

  • Part 9 - Multi-class Classification

  • Part 10 - Conclusion & Next Steps

As a bonus, for every student, we provide you with JavaScript and HTML code templates that you can download and use on your own projects.

Who this course is for:
  • Anyone who wants to start using machine learning in their apps and websites using Javascript