- Google Cloud Platform
- Tensorflow
- Deep Learning
- Artificial Neural Networks
- Machine Learning
- Data Pipelines
- Cloud Computing
- Data Cleansing
- Application Programming Interface (API)
- Python Programming
- MLOps (Machine Learning Operations)
- Keras (Neural Network Library)
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Annie Deshaies
March 18, 2019
13 hours (approximately)
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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
