Hyperparameter Tuning

Machine learning is a hot topic these days and Google has been one of the biggest newsmakers. Google’s machine learning is being used behind the scenes every day by millions of people. When you search for an image on the web or use Google Translate on foreign language text or use voice dictation on your Android phone, you’re using machine learning. Now Google has launched AI Platform to give its customers the power to train their own neural networks.

This is a hands-on course where you can follow along with the demos using your own Google Cloud account or a trial account.

Learning Objectives

• Describe how an artificial neural network functions
• Run a simple TensorFlow program
• Train a model using a distributed cluster on AI Platform
• Increase prediction accuracy using feature engineering and hyperparameter tuning
• Deploy a trained model on AI Platform to make predictions with new data

Resources

• The GitHub repository for this course is at https://github.com/cloudacademy/aiplatform-intro.

Updates

• December 20, 2020: Completely revamped the course due to Google AI Platform replacing Cloud ML Engine and the release of TensorFlow 2.
• Nov. 16, 2018: Updated 90% of the lessons due to major changes in TensorFlow and Google Cloud ML Engine. All of the demos and code walkthroughs were completely redone.