Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Himanshu Porwal
February 11, 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
- Category: Data Transformation
- Category: Python Programming
- Category: Keras (Neural Network Library)
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Data Pipelines
- Category: Data Processing
- Category: Model Deployment
- Category: Deep Learning
- Category: Cloud Deployment
- Category: Data Preprocessing
- Category: Machine Learning
