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    09

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

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    09

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

    magic_button TensorFlow Machine Learning Pipeline Machine Learning Model Training
    These skills were generated by A.I. Do you agree this course teaches these skills?
    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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    Build, Train and Deploy ML Models with Keras on Google Cloud徽章
    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
    预览