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Lectures on Introduction to Machine Learning using Tensorflow and Google APIs...

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发表于 2016-1-7 09:27:15 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式
谷歌官方的活动,有兴趣的加入下

日期: 2016年1月5日 — 2016年1月5日
时间: 20:00 (IST)
Event URL: https://plus.google.com/events/c41fbqac4pir1u1i7tr2eevonvo

关于: Google Developers Group in collaboration with Programming Club is organizing lectures on introduction to Machine Learning using Tensorflow and using OAuth 2.0 for Authentication. Tensorflow is an open source software library for numerical computation using data flow graphs which is largely used for deep learning algorithms. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. Tensorflow is widely used by Google for all the deep learning based algorithm including ChatBot, Language Translations, Object Recognitions and other famous Google's Machine Learning applications. In the lecture we will explain the basics of TensorFlow and TensorBoard, and how to use it for implementing the machine learning algorithms. We will implement basic hand writing recognition algorithm using MNIST data and show an example of K-means clustering using TensorFlow. Please note that lecture requires the attendees to know the basics of programming and machine learning in general. OAuth 2.0 is the next evolution of the OAuth protocol which was originally created in late 2006. OAuth 2.0 focuses on client developer simplicity while providing specific authorization flows for web applications, desktop applications, mobile phones, and living room devices. It is widely used by Google, Facebook, Twitter, Github, etc. for authentication of their APIs.
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