h264, yuv420p, 1280×720 |ENGLISH, aac, 44100 Hz, 2 channels, s16 | 7h 13mn | 2.5 GBInstructor: Justin EmeryMaster 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 learnMachine Learning in Javascript and TensorFlowJSDeep Learning and Neural Network conceptsWhy TensorFlow for JavaScript is a game changerDefining machine learning modelsHow to install and run TensorFlowJSHow TensorFlowJS is optimisedTraining machine learning modelsData preparation for machine learningHow to make accurate predictionsLinear regressionBinary classificationMulti-class classificationHeatmap visualisationScatter-plot visualisationImporting and normalising dataHow to manage memory in TensorFlowJSTensor mathematicsSaving machine learning modelsInputting and outputting using a web browserJavascript and machine learning integrationShuffling, and splitting dataIn-depth labs for practical developmentRequirementsJavascript basicsSome high school maths (but we give links if you need a refresher!)DescriptionUpdated 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.jsPart 2 – Installing and running TensorFlow.jsPart 3 – TensorFlow.js Core ConceptsPart 4 – Data Preparation with TensorFlow.jsPart 5 – Defining a modelPart 6 – Training and Testing in TensorFlow.jsPart 7 – TensorFlow.js PredictionPart 8 – Binary ClassificationPart 9 – Multi-class ClassificationPart 10 – Conclusion & Next StepsAs 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
