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Build, Train and Deploy ML Models with Keras on Google Cloud

Build, Train and Deploy ML Models with Keras on Google Cloud

magic_button Keras TensorFlow Data Pipelines
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15 个小时 30 分钟 中级 universal_currency_alt 25 积分

This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

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info
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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