- Data Transformation
- Tensorflow
- Keras (Neural Network Library)
- Application Programming Interface (API)
- Data Cleansing
- Data Pipelines
- Deep Learning
- Artificial Neural Networks
- Python Programming
- Cloud Computing
- Google Cloud Platform
- MLOps (Machine Learning Operations)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by TAN BENG KIAT, ALBERT
December 17, 2019
13 hours (approximately)
TAN BENG KIAT, ALBERT '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
