Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Jorge Raul Murillo Curasi
August 25, 2018
13 hours (approximately)
Jorge Raul Murillo Curasi'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 Transformation
- Category: Python Programming
- Category: Keras (Neural Network Library)
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Data Pipelines
- Category: Data Processing
- Category: Model Deployment
- Category: Deep Learning
- Category: Cloud Deployment
- Category: Data Preprocessing
- Category: Machine Learning
