Deep Learning & Machine Learning Masterclass w/ TensorFlowJS

机器学习和深度学习最近获得了极大的关注，但是直到现在，由于学习新语言所涉及的陡峭学习曲线，JavaScript开发人员仍无法利用它。这里提供了一个基于浏览器的JavaScript库TensorFlow.js，您可以使用它来训练和完全在浏览器中部署机器学习模型。如果您是JavaScript开发人员，想使用TensorFlow.js输入ML和DL字段，那么本课程适合您。

在本课程结束时，您将能够使用JavaScript和TensorFlow.js库为自己的项目实现机器学习和深度学习。

本课程是基于项目的，因此您不会学习很多无用的编码实践。在本课程结束时，您将在您的投资组合中使用真实的应用程序。我们认为基于项目的培训内容是从A到B的最佳方法。参加本课程意味着您立即学习实用的，可应用的技能。

您可以使用在本课程中构建的项目将其添加到您的LinkedIn个人资料中。为您的投资组合加油，使您的职业生涯更上一层楼。

学习编码是进入新职业或改善当前职业的好方法。编码是一种新的数学方法，学习如何编码将在任何情况下推动您前进。今天就学习，明天就抢先一步。掌握技术的人将统治未来。

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | VTT | Size: 3.69 GB | Duration: 9h 26m
Learn Machine Learning and Deep Learning from scratch using JavaScript and Tensorflow.js with hands-on projects

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