最新消息:网盘下载利器JDownloader--|--发布资讯--|--解压出错.密码问题--|--最近盗号猖獗,弱密码的会员尽快改为复杂密码,不要跟别的网站密码一样.

Designing and Implementing Solutions Using Google Cloud AutoML


MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | + Exercise Files
Level: Beginner | Released: 12 Oct 2018
Duration: 1h 41m | 634 MB

Google Cloud AI offers a wide range of machine learning services. AutoML features cutting-edge technology which uses your training data to find the best model for your use case. In this course, you'll learn to build a custom machine learning model.

Most organizations want to harness the power of machine learning in order to improve their products, but they may not always have the expertise available in-house. In this course, Designing and Implementing Solutions Using Google Cloud AutoML, you’ll learn how you can train custom machine learning models on your dataset with just a few clicks on the UI or a few commands on a terminal window. This course will also show how engineers and analysts can harness the power of ML for common use cases by using AutoML to build their own model, trained on their own data, without needing any specific machine learning expertise. First, you'll see an overview of the suite of machine learning services available on the Google Cloud and understand the features of each so you can make the right choice of service for your use case. You’ll learn about the basic concepts underlying AutoML which uses neural architecture search and transfer learning to find the best neural network for your custom use case. Next, you'll explore AutoML’s translation model, and feed in sentence pairs to the TMX format to perform German-English translation. You’ll use your custom model for prediction from the UI, from the command line, and by using Python APIs. You’ll also learn to understand the significance of the BLEU score to analyze the quality of your translation model. Finally, you'll use the natural language APIs that AutoML offers to build a model for sentiment analysis of reviews and work with AutoML for image classification using the AutoML Vision APIs. You'll finish up by learning the basic requirements of the data needed to train this model and develop a classifier that can identify fruits. At the end of this course, you will be very comfortable choosing the right ML API that fits your use case and using AutoML to build complex neural networks trained on your own dataset for common problems.

Password/解压密码-0daydown

Download rapidgator
http://rg.to/file/cd4cb650e54fb2b66e9ce4df49b140e4/pls_Designing_and_Implementing_Solutions_Using_Google_Cloud_AutoML.part1.rar.html
http://rg.to/file/990ce84a50d2b2889d711ded3b60a7ab/pls_Designing_and_Implementing_Solutions_Using_Google_Cloud_AutoML.part2.rar.html

Download nitroflare
http://nitroflare.com/view/138FEA7085489E8/pls_Designing_and_Implementing_Solutions_Using_Google_Cloud_AutoML.part1.rar
http://nitroflare.com/view/02B6F6E395D7F32/pls_Designing_and_Implementing_Solutions_Using_Google_Cloud_AutoML.part2.rar

Download 百度云

以下隐藏内容只提供VIP赞助会员

sorry! The following hidden content sponsorship VIP members only.

您必须 登录 才能发表评论!