Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Chih-Ming Shih
January 20, 2019
13 hours (approximately)
Chih-Ming Shih'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: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Tensorflow
- Category: Python Programming
- Category: Cloud Deployment
- Category: Data Preprocessing
- Category: Model Training
- Category: Google Cloud Platform
- Category: Data Transformation
- Category: Application Programming Interface (API)
