Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Fabrizio Federiconi
August 3, 2018
13 hours (approximately)
Fabrizio Federiconi's account is verified. Coursera certifies their successful completion of Build, Train and Deploy ML Models with Keras on Google Cloud
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: Keras (Neural Network Library)
- Category: Data Preprocessing
- Category: Model Training
- Category: Data Processing
- Category: Model Optimization
- Category: Google Cloud Platform
- Category: Data Pipelines
- Category: Cloud Deployment
- Category: Model Deployment
- Category: Python Programming
- Category: Deep Learning
- Category: Artificial Neural Networks
