04
TensorFlow on Google Cloud
04
TensorFlow on Google Cloud
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This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.
Kursinformationen
Ziele
- Create TensorFlow and Keras machine learning models and describe their key components.
- Use the tf.data library to manipulate data and 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.
Voraussetzungen
Some familiarity with basic machine learning concepts
Basic proficiency with a scripting language; Python preferred
Zielgruppe
- Data Analysts
- Data Engineers
- Data Scientists
- ML Engineers
- ML Software Engineers
Verfügbare Sprachen
English, 日本語, français, español (Latinoamérica), 한국어 und português (Brasil)