Do you want to build a machine learning model, but you aren’t sure where to start? Starting with an empty notebook, Sara Robinson live-codes a simple neural network in TensorFlow. She then demonstrates how to train and serve the model on Google Cloud Platform and uses the deployed model to generate predictions from a web app.
Sara Robinson is a developer advocate on Google’s Cloud Platform team, focusing on machine learning. She helps developers build awesome apps through demos, online content, and events. Previously, she was a developer advocate on the Firebase team at Google. Sara holds a bachelor’s degree from Brandeis University. When she’s not programming, she can be found on a spin bike, listening to the Hamilton soundtrack, or eating froyo.
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