- Tensorflow
- Keras (Neural Network Library)
- Data Preprocessing
- Data Transformation
- Machine Learning
- Python Programming
- Model Evaluation
- Google Cloud Platform
- Deep Learning
- Data Pipelines
- MLOps (Machine Learning Operations)
- Artificial Neural Networks
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by BEOMSEOK HAN
January 10, 2021
13 hours (approximately)
BEOMSEOK HAN'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
