04
TensorFlow on Google Cloud
04
TensorFlow on Google Cloud
These skills were generated by A.I. Do you agree this course teaches these skills?
This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.
课程信息
目标
- Create TensorFlow and Keras machine learning models and describe their key components.
- Use the tf.data library to manipulate data and large datasets.
- Use the Keras Sequential and Functional APIs for simple and advanced model creation.
- Train, deploy, and productionalize ML models at scale with Vertex AI.
前提条件
Some familiarity with basic machine learning concepts
Basic proficiency with a scripting language; Python preferred
受众
- Data Analysts
- Data Engineers
- Data Scientists
- ML Engineers
- ML Software Engineers
支持的语言
English, 日本語, français, español (Latinoamérica), 한국어, and português (Brasil)
学完本课程后，我可以做些什么？
学完本课程后，您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章？
学完一门课程后，您将获得结业徽章。徽章可在个人资料中供查看，还可在社交网络上分享。
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