Data Pipelines with TensorFlow Data Services

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/data-pipelines-tensorflow

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Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you’ll use a suite of tools in TensorFlow to more effectively leverage data and train your model. You’ll learn how to leverage built-in datasets with just a few lines of code, use APIs to control how you split your data, and process all types of unstructured data. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

TensorFlow数据服务的数据管道:将机器学习模型带入现实世界不仅涉及建模,还涉及很多其他内容。本专业知识将教您如何导航各种部署方案并更有效地使用数据来训练模型。 在这第三门课程中,您将在TensorFlow中使用一套工具来更有效地利用数据并训练模型。您将学习如何仅用几行代码就可以利用内置数据集,如何使用API控制拆分数据的方式以及如何处理所有类型的非结构化数据。 该专业化基于我们的TensorFlow实践专业化。如果您不熟悉TensorFlow,我们建议您首先参加TensorFlow实践专业化课程。为了对神经网络的工作方式有更深入的基础了解,我们建议您参加“深度学习专业化”课程。

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