Machine Learning in JavaScript with TensorFlow.js

h264, yuv420p, 1280×720 |ENGLISH, aac, 44100 Hz, 2 channels, s16 | 7h 13mn | 2.5 GB
Instructor: Justin Emery
Master machine learning with JavaScript and TensorFlowJS. Add artificial intelligence to websites, Node.js and web apps!

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

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

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

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