- Data Cleansing
- Deep Learning
- Artificial Neural Networks
- Tensorflow
- MLOps (Machine Learning Operations)
- Data Pipelines
- Google Cloud Platform
- Keras (Neural Network Library)
- Application Programming Interface (API)
- Data Transformation
- Cloud Computing
- Machine Learning
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by 동준 이
May 1, 2019
13 hours (approximately)
동준 이'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
