09
Build, Train and Deploy ML Models with Keras on Google Cloud
09
Build, Train and Deploy ML Models with Keras on Google Cloud
These skills were generated by AI. Do you agree this course teaches these skills?
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
课程信息
目标
- Design and build a TensorFlow input data pipeline.
- Use the tf.data library to manipulate data in 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, português (Brasil), and italiano
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。
有兴趣通过我们的点播课程合作伙伴之一来学习本课程吗
在 Coursera 和 Pluralsight 上探索 Google Cloud 内容
更喜欢跟随讲师学习？