TensorFlow on Google Cloud
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.
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- Create TensorFlow and Keras machine learning models and understand 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