- Data Transformation
- Artificial Neural Networks
- Cloud Deployment
- MLOps (Machine Learning Operations)
- Deep Learning
- Model Evaluation
- Google Cloud Platform
- Machine Learning
- Tensorflow
- Data Pipelines
- Model Deployment
- Keras (Neural Network Library)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Khan Amrin Khanam
October 19, 2020
13 hours (approximately)
Khan Amrin Khanam'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
