Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Luke Scales
November 19, 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: Data Transformation
- Category: Data Processing
- Category: Deep Learning
- Category: Model Deployment
- Category: Python Programming
- Category: Model Optimization
- Category: Data Pipelines
- Category: Tensorflow
- Category: Google Cloud Platform
- Category: Artificial Neural Networks
- Category: Data Preprocessing
- Category: Application Programming Interface (API)
