Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Juan Camilo Diaz Ortega
October 30, 2018
13 hours (approximately)
Juan Camilo Diaz Ortega'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: Tensorflow
- Category: Data Pipelines
- Category: Model Deployment
- Category: Model Training
- Category: Data Processing
- Category: Cloud Deployment
- Category: Google Cloud Platform
- Category: Data Transformation
- Category: Keras (Neural Network Library)
- Category: Application Programming Interface (API)
- Category: Deep Learning
- Category: Model Optimization
