What you'll learn
Get acquainted with machine learning and deep learning capabilities using JavaScript
Understand the JavaScript Machine Learning ecosystem
Know how to decide, analyze, and make predictions from real-world data
Build deep learning models with TensorFlow .js and practice on realistic datasets

Description
Machine learning and Deep Learning have been gaining immense traction lately, but until now JavaScript developers have not been able to take advantage of it due to the steep learning curve involved in learning a new language. Here comes a browser-based JavaScript library, TensorFlow.js to your rescue using which you can train and deploy machine learning models entirely in the browser. If you're a JavaScript developer who wants to enter the field ML and DL using TensorFlow.js, then this course is for you.

Towards the end of this course, you will be able to implement Machine Learning and Deep Learning for your own projects using JavaScript and the TensorFlow.js library.

This course is project-based so you will not be learning a bunch of useless coding practices. At the end of this course, you will have real-world apps to use in your portfolio. We feel that project-based training content is the best way to get from A to B. Taking this course means that you learn practical, employable skills immediately.

You can use the projects you build in this course to add to your LinkedIn profile. Give your portfolio fuel to take your career to the next level.

Learning how to code is a great way to jump into a new career or enhance your current career. Coding is the new math and learning how to code will propel you forward in any situation. Learn it today and get a head start for tomorrow. People who can master technology will rule the future.

Who this course is for:
Developers transferring from other languages
JavaScript developers interested in Machine Learning and Deep learning
Data analysts and data scientists who want to explore the possibilities of Machine Learning and Deep Learning using JavaScript

Screenshots

Citación :

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