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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-and-deep-learning-with-javascript/
课程评论：没有评论
课程名称：使用JavaScript的机器学习与深度学习 课程概述：机器学习和深度学习近年来受到广泛关注，但对于JavaScript开发者来说，由于学习新语言的陡峭学习曲线，直到现在他们仍难以利用这项技术。TensorFlow.js是一个基于浏览器的JavaScript库，可以帮助开发者在浏览器中训练和部署机器学习模型。本课程专为希望使用TensorFlow.js进入机器学习和深度学习领域的JavaScript开发者设计。课程采用逐步的方法，教你如何使用TensorFlow.js库进行日常的机器学习和深度学习。 课程内容从机器学习简介开始，逐渐引导你创建机器学习模型、神经网络和深度学习模型，并通过实践项目进行学习。你 将学习如何将预训练模型集成到自己的Web应用中，以根据图片和声音检测人类情感。此外，你还将学习如何修改预训练模型，从零开始根据自己的数据训练情感检测器。课程结束时，你将能够使用JavaScript和TensorFlow.js库为自己的项目实施机器学习和深度学习。 讲师介绍：本课程由以下两位杰出讲师授课，以确保你的学习之旅顺畅： - Arish Ali：他在五年前赢得了由IISC和微软举办的全国性机器学习比赛，从此开始了他的机器学习之旅。曾任Mu Sigma数据科学家，涉及多触点归因建模、市场组合建模和深度神经网络的前沿问题。他是布里奇管理学院的预测商业分析兼职讲师，目前是Neurofy Pvt Ltd的首席执行官，一家专注于人员分析的初创公司。 - Jakub Konczyk：自1995年以来，他一直从事编程工作，是Python和Django专家，自2006年以来参与复杂系统的构建。他热衷于简化和教授编程知识，并与他人分享。Jakub第一次接触机器学习是在他尝试预测房地产价格的初创企业中，尽管失败了，但他找到了更实用的机器学习学习方式，并希望在本课程中分享。 课程大纲：无
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.This course takes a step by step approach to teach you how to use JavaScript library, TensorFlow.js for performing machine learning and deep learning on a day-to-day basis. Beginning with an introduction to machine learning, you will learn how to create machine learning models, neural networks, and deep learning models with practical projects. You will then learn how to include a pre-trained model into your own web application to detect human emotions based on pictures and voices. You will also learn how to modify a pre-trained model to train the emotional detector from scratch using your own data.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.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Arish Ali started his machine learning journey 5 years ago by winning an all-India machine learning competition conducted by IISC and Microsoft. He was a data scientist at Mu Sigma, one of the biggest analytics firms in India. He has worked on some cutting-edge problems involved in multi-touch attribution modeling, market mix modeling, and Deep Neural Networks. He has also been an Adjunct faculty for Predictive Business Analytics at the Bridge School of Management, which along with Northwestern University (SPS) offers a course in Predictive Business Analytics. He has also worked at a mental health startup called Bemo as an AI developer where his role was to help automate the therapy provided to users and make it more personalized. He is currently the CEO at Neurofy Pvt Ltd, a people analytics startup.Jakub Konczyk has done programming professionally since 1995. He is a Python and Django expert and has been involved in building complex systems since 2006. He loves to simplify and teach programming subjects and share them with others. He first discovered Machine Learning when he was trying to predict real estate prices in one of the early stages startups he was involved in. He failed miserably. Then he discovered a much more practical way to learn Machine Learning that he would like to share with you in this course. It boils down to Keep it simple!
