- Tensorflow
- Data Pipelines
- Deep Learning
- Artificial Neural Networks
- Cloud Deployment
- Google Cloud Platform
- Data Preprocessing
- Machine Learning
- Model Deployment
- Data Transformation
- Model Evaluation
- MLOps (Machine Learning Operations)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Kohei Hosokawa 細川 浩平
August 24, 2021
13 hours (approximately)
Kohei Hosokawa 細川 浩平'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
