08
TensorFlow on Google Cloud
08
TensorFlow on Google Cloud
These skills were generated by A.I. Do you agree this course teaches these skills?
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.
Course Info
Objectives
- 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.
Prerequisites
Some familiarity with basic machine learning concepts
Basic proficiency with a scripting language; Python preferred
Audience
- Data Analysts
- Data Engineers
- Data Scientists
- ML Engineers
- ML Software Engineers
Available languages
English, 日本語, français, español (Latinoamérica), 한국어, português (Brasil), and italiano