- Tensorflow
- Python Programming
- Machine Learning
- keras
- Build Input Data Pipeline
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Mirza Jhanzaib Iqbal
July 2, 2018
13 hours (approximately)
Mirza Jhanzaib Iqbal'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
