- Tensorflow
- Python Programming
- Machine Learning
- Google Cloud Platform
- Data Transformation
- Keras (Neural Network Library)
- Deep Learning
- Application Programming Interface (API)
- Data Cleansing
- Data Pipelines
- MLOps (Machine Learning Operations)
- Cloud Computing
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by 동준 이
May 1, 2019
13 hours (approximately)
동준 이'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
