Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Yejing Fan
August 30, 2020
11 hours (approximately)
Yejing Fan'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: Data Processing
- Category: Model Deployment
- Category: Google Cloud Platform
- Category: Cloud Deployment
- Category: Model Training
- Category: Application Programming Interface (API)
- Category: Keras (Neural Network Library)
- Category: Model Optimization
- Category: Artificial Neural Networks
- Category: Data Pipelines
- Category: Python Programming
- Category: Deep Learning
