Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by SIVARANJAN GOSWAMI
June 5, 2019
13 hours (approximately)
SIVARANJAN GOSWAMI'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: Feature Engineering
- Category: Machine Learning
- Category: Model Deployment
- Category: MLOps (Machine Learning Operations)
- Category: Keras (Neural Network Library)
- Category: Artificial Neural Networks
- Category: Model Evaluation
- Category: Deep Learning
- Category: Python Programming
- Category: Cloud Deployment
- Category: Tensorflow
- Category: Data Pipelines
