Distributed ML with Google Cloud ML
Obtain proficiency in the extension of the TensorFlow framework, the deployment of models to the Cloud ML Engine, and the repeatable evaluation of predictive models.
Description for Distributed ML with Google Cloud ML
Features of the Course:
Deep Neural Network Classifier with TensorFlow: Acquire the ability to extend Python TensorFlow frameworks to incorporate deep neural network classifiers for the purpose of advanced model development.
Wide and Deep Model Implementation: Enhance the predictive capabilities of the neural network classifier by incorporating deep and wide models.
Deployment of Cloud Machine Learning Engine: Make predictions through Python API calls and deploy trained models to the Cloud ML Engine.
Model Evaluation and Data Partitioning: Comprehend the process of dividing datasets into training and test sets and assessing predictive models in a consistent manner.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud
Duration: 1 hour 30 minutes at your own pace
Schedule: Hands-on learning
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