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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/end-to-end-ml-tensorflow-gcp
课程评论：没有评论
课程名称：使用GCP上的TensorFlow进行端到端机器学习 课程概述：在本专业化课程的第一门课程中，我们将回顾在Google Cloud Platform上使用TensorFlow进行机器学习专业化中所涵盖的内容。复习知识的最佳方式之一就是实践您所学的概念和技术。因此，本课程设置为研讨会形式，您将使用TensorFlow在Google Cloud Platform上进行端到端的机器学习。 先决条件：具备基本的SQL知识，熟悉Python和TensorFlow。 课程大纲： 1. 模块一：探索数据 描述：本模块使用Datalab和BigQuery探索大型数据集。 2. 模块二：构建模型 描述：本模块将指导您在TensorFlow中开发机器学习模型。 3. 模块三：总结 描述：本模块回顾你在本课程中所学到的内容。 通过注册本课程，您同意Qwiklabs服务条款，具体内容请参见常见问题解答，链接为：https://qwiklabs.com/terms_of_service
Part: 1
Title:Explore the Data
Description:This module explores a large dataset using Datalab and BigQuery.
Part: 2
Title:Build the Model
Description:This module let's you develop a machine learning model in Tensorflow.
Part: 3
Title:Summary
Description:This module reviews what you've learned in this course.
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www.coursera.org/specializations/machine-learning-tensorflow-gcp). One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Prerequisites: Basic SQL, familiarity with Python and TensorFlow >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
