Abstract: 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.
Bio: 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.