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Deep Learning and AI
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Which Whale Is It, Anyway? Face Recognition for Right Whales Using Deep Learning
Robert Bogucki (deepsense.io)
With fewer than 500 North Atlantic right whales left in the world's oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction. To interest the data science communit ...Read More
With fewer than 500 North Atlantic right whales left in the world's oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction. To interest the data science community, NOAA Fisheries has organized a competition hosted on Kaggle.com. The challenge was to automate the right whales recognition process using a dataset of aerial photographs of individual whales - currently a painstaking and lengthy, manual process. In this session, I will outline the winning solution. It is based on deep learning and convolutional neural networks.  Back
 
Keywords:
Deep Learning and AI, Computer Vision and Machine Vision, GTC 2016 - ID S6723
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Which Whale Is It, Anyway? Face Recognition for Right Whales Using Deep Learning
Robert Bogucki (deepsense.io)
With fewer than 500 North Atlantic right whales left in the world's oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction. To interest the data science community, ...Read More
With fewer than 500 North Atlantic right whales left in the world's oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction. To interest the data science community, NOAA Fisheries has organized a competition hosted on <a href="http://Kaggle.com">Kaggle.com</a>. The challenge was to automate the right whales recognition process using a dataset of aerial photographs of individual whales - currently a painstaking and lengthy, manual process. In the poster, we outline the winning solution. It is based on deep learning and convolutional neural networks.  Back
 
Keywords:
Deep Learning and AI, Computer Vision and Machine Vision, GTC 2016 - ID P6325
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