Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by WELLINGTON SOUZA DA SILVA
August 7, 2019
13 hours (approximately)
WELLINGTON SOUZA DA SILVA'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: Python Programming
- Category: Machine Learning
- Category: Data Pipelines
- Category: Data Processing
- Category: Google Cloud Platform
- Category: Model Training
- Category: Keras (Neural Network Library)
- Category: Data Preprocessing
- Category: Model Deployment
- Category: Artificial Neural Networks
- Category: Cloud Deployment
- Category: Data Transformation
