Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Himanshu Porwal
February 11, 2019
13 hours (approximately)
Himanshu Porwal's account is verified. Coursera certifies their successful completion of Build, Train and Deploy ML Models with Keras on Google Cloud
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: Application Programming Interface (API)
- Category: Artificial Neural Networks
- Category: Data Transformation
- Category: Model Training
- Category: Machine Learning
- Category: Model Deployment
- Category: Tensorflow
- Category: Keras (Neural Network Library)
- Category: Python Programming
- Category: Data Pipelines
- Category: Data Processing
- Category: Google Cloud Platform
