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: Model Deployment
- Category: Model Training
- Category: Application Programming Interface (API)
- Category: Python Programming
- Category: Keras (Neural Network Library)
- Category: Data Preprocessing
- Category: Cloud Deployment
- Category: Model Optimization
- Category: Machine Learning
- Category: Google Cloud Platform
- Category: Deep Learning
- Category: Tensorflow
