Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Tomáš Stryja
April 29, 2019
13 hours (approximately)
Tomáš Stryja'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: Machine Learning
- Category: Data Pipelines
- Category: Data Processing
- Category: Data Preprocessing
- Category: Google Cloud Platform
- Category: Data Transformation
- Category: Cloud Deployment
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Model Deployment
- Category: Deep Learning
- Category: Keras (Neural Network Library)
