Pete Warden shows you how to train an object recognition model on your own images and then integrate it into a mobile application. Drawing on concrete examples, Pete demonstrates how to apply advanced machine learning to practical problems without the need for deep theoretical knowledge or even much coding.
Pete Warden is the technical lead on the TensorFlow mobile embedded team at Google doing deep learning. Previously, he was CTO of Jetpac, which was acquired by Google, and worked on GPU optimizations for image processing at Apple. He’s written several books on data processing for O’Reilly and blogs at petewarden.com.
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