Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Daniel Kohlsdorf
June 1, 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: Model Optimization
- Category: Model Deployment
- Category: Deep Learning
- Category: Python Programming
- Category: Data Processing
- Category: Artificial Neural Networks
- Category: Tensorflow
- Category: Google Cloud Platform
- Category: Application Programming Interface (API)
- Category: Model Training
- Category: Machine Learning
- Category: Cloud Deployment
