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GTC ON-DEMAND

Science and Research
Presentation
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Deep Learning for Object Detection (End-to-end Series Part 2)
Abstract:

Building upon the foundational understanding of how deep learning is applied to image classification, this lab explores different approaches to the more challenging problem of detecting if an object of interest is present within an image and recognizing its precise location within the image. Numerous approaches have been proposed for training deep neural networks for this task, each having pros and cons in relation to model training time, model accuracy and speed of detection during deployment. On completion of this lab, you will understand each approach and their relative merits. You'll receive hands-on training applying cutting edge object detection networks trained using NVIDIA DIGITS on a challenging real-world dataset.

 
Topics:
Science and Research
Type:
Panel
Event:
GTC Washington D.C.
Year:
2016
Session ID:
DCL16105
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