- Artificial Neural Networks
- Deep Learning
- Tensorflow
- Google Cloud Platform
- Human Learning
- Build Input Data Pipeline
- keras
- Applied Machine Learning
- Cloud Computing
- Machine Learning
- Python Programming
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Veneta Lyudmilova Haralampieva
October 7, 2018
13 hours (approximately)
Veneta Lyudmilova Haralampieva'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
