Extend a Python TensorFlow machine learning framework to use a deep neural network classifier
Modify the deep neural network classifier to implement a wide and deep model
Deploy a trained model to the Cloud ML Engine and make predictions using Python to execute API calls to the Cloud ML Engine
This is a self-paced lab that takes place in the Google Cloud console. Learn the process for partitioning a data set into two separate parts: a training set to develop a model, and a test set to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.
Data Science
Google Cloud Platform
Predictive Modelling
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