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

09

Name: Build, Train and Deploy ML Models with Keras on Google Cloud
Rating: 4.13 (363 reviews)

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Data Management

Vertex AI

Machine Learning

Machine Learning Model Training

Machine Learning Pipeline

Keras

Data Pipelines

TensorFlow

Google Cloud Services

Data Pipeline

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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