Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Sasis Sawartsut
November 28, 2024
13 hours (approximately)
Sasis Sawartsut'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: Data Transformation
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Tensorflow
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Application Programming Interface (API)
- Category: Cloud Deployment
- Category: Data Preprocessing
- Category: Python Programming
- Category: Model Optimization
- Category: Data Pipelines
