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Supercharge your Computer Vision models with TensorFlow

July 12, 2017 @ 19:00


7:00 – Doors open. Welcome. Networking. Beer.

7:15 – Supercharge your Computer Vision models with TensorFlow.

8:00 – Q&A & Networking.

Supercharge your Computer Vision models with TensorFlow.

At Google, the engineers develop flexible state-of-the-art machine learning (ML) systems for computer vision that not only can be used to improve their products and services, but also spur progress in the research community. Creating accurate ML models capable of localizing and identifying multiple objects in a single image remains a core challenge in the field, and they invest a significant amount of time training and experimenting with these systems.


Dr. Sergio Guadarrama is a Senior Software Engineer at Google Research, where he works in Machine Perception and Deep Learning as a member of the Vale team. His research focus is on new deep network architectures for multi-task dense predictions, such as object detection, instance segmentation, depth prediction and visual question-answering. Currently he is a core developer of TensorFlow and co-creator of TensorFlow-Slim. Before joining Google he was a Research Scientist at Universityof California, Berkeley EECS with Prof. Trevor Darrell and Prof. Lotfi Zadeh. At UC-Berkeley he was a core developer of Caffe: Convolutional Architecture for Fast Feature Embedding. He received his Bachelor and PhD degrees from the Technical University of Madrid, and did a postdoc at the European Center for Soft Computing with Prof. Enric Trillas.


July 12, 2017

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