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 A.I. 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
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