- Keras (Neural Network Library)
- Artificial Neural Networks
- Data Cleansing
- Tensorflow
- Deep Learning
- Data Pipelines
- MLOps (Machine Learning Operations)
- Application Programming Interface (API)
- Python Programming
- Google Cloud Platform
- Machine Learning
- Cloud Computing
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Pruthviraj Dilip Jadhav
August 7, 2020
13 hours (approximately)
Pruthviraj Dilip Jadhav'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
