- Artificial Neural Networks
- Tensorflow
- Feature Engineering
- Keras (Neural Network Library)
- Model Deployment
- Data Transformation
- Data Pipelines
- Model Evaluation
- Deep Learning
- Data Preprocessing
- MLOps (Machine Learning Operations)
- Python Programming
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Lampros Chrysovalantis Amarantidis
April 13, 2020
13 hours (approximately)
Lampros Chrysovalantis Amarantidis'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
