Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Zekun Zhang
September 10, 2018
13 hours (approximately)
Zekun Zhang'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: Artificial Neural Networks
- Category: Model Deployment
- Category: Tensorflow
- Category: Application Programming Interface (API)
- Category: Data Preprocessing
- Category: Machine Learning
- Category: Keras (Neural Network Library)
- Category: Data Transformation
- Category: Deep Learning
- Category: Cloud Deployment
- Category: Python Programming
- Category: Data Pipelines
