Machine Learning in JavaScript with TensorFlow.js

Machine Learning in JavaScript with TensorFlow.js

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.45 GB

Genre: eLearning Video | Duration: 27 lectures (7 hours, 13 mins) | Language: English

https://www.udemy.com/course/machine-learning-in-javascript-with-tensorflow-js/

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