Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Robert Budwilowitz
October 23, 2018
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 Training
- Category: Keras (Neural Network Library)
- Category: Artificial Neural Networks
- Category: Data Processing
- Category: Deep Learning
- Category: Tensorflow
- Category: Data Transformation
- Category: Cloud Deployment
- Category: Model Deployment
- Category: Data Preprocessing
- Category: Application Programming Interface (API)
- Category: Model Optimization
