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: Tensorflow
- Category: Python Programming
- Category: Data Transformation
- Category: Artificial Neural Networks
- Category: Data Preprocessing
- Category: Google Cloud Platform
- Category: Model Deployment
- Category: Model Training
- Category: Deep Learning
- Category: Data Pipelines
- Category: Application Programming Interface (API)
- Category: Cloud Deployment
