- 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 Jason Majoros
June 30, 2024
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
