Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Michael Stevens
June 29, 2018
13 hours (approximately)
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What you will learn
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.
Skills you will gain
- Category: Cloud Deployment
- Category: Machine Learning
- Category: Model Deployment
- Category: Application Programming Interface (API)
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Data Processing
- Category: Data Pipelines
- Category: Google Cloud Platform
- Category: Python Programming
- Category: Data Preprocessing
- Category: Data Transformation
