Practical Machine Learning on Images


In this workshop, you’ll build an end-to-end machine learning model for image understanding using Google Cloud Vertex AI. The workshop will show you how to prepare the 5-flowers dataset, train a Transfer Learning EfficientNet model to classify flowers, deploy the model, explain its predictions, and invoke the model from a streaming pipeline. The labs are based on the O’Reilly Media book “Practical Machine Learning for Computer Vision” by Valliappa Lakshmanan, Martin Gorner, and Ryan Gillard.


Ryan Gillard is an AI engineer in Google Cloud's Professional Services organization, where he builds ML models for a wide variety of industries. He started his career as a research scientist in the hospital and healthcare industry. With degrees in neuroscience and physics, he loves working at the intersection of those disciplines exploring intelligence through mathematics.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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