- Keras (Neural Network Library)
- Deep Learning
- Artificial Neural Networks
- MLOps (Machine Learning Operations)
- Cloud Deployment
- Data Transformation
- Python Programming
- Google Cloud Platform
- Model Evaluation
- Machine Learning
- Data Pipelines
- Tensorflow
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Daniele Barone
February 28, 2021
13 hours (approximately)
Daniele Barone'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
