- Data Preprocessing
- Keras (Neural Network Library)
- Google Cloud Platform
- Python Programming
- Artificial Neural Networks
- Tensorflow
- Data Transformation
- Cloud Deployment
- Deep Learning
- Machine Learning
- Model Evaluation
- Data Pipelines
Build, Train and Deploy ML Models with Keras on Google Cloud
Completed by Boris Garrido Arévalo
July 16, 2019
13 hours (approximately)
Boris Garrido Arévalo'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
