- Artificial Neural Networks
- Tensorflow
- Deep Learning
- Model Deployment
- Data Pipelines
- Google Cloud Platform
- Keras (Neural Network Library)
- Data Preprocessing
- MLOps (Machine Learning Operations)
- Data Transformation
- Feature Engineering
- Python Programming
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Nikita Gennadievich Bakunin
November 26, 2018
13 hours (approximately)
Nikita Gennadievich Bakunin'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
