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Tutorial Schedule
Caffe tour and latest roast
Caffe Tour
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the why and how of Caffe
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highlight reel of examples + applications
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do-it-yourself notebooks
Latest Roast
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detection Ross Girshick
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sequences and vision + language Jeff Donahue
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pixelwise prediction Jon Long and Evan Shelhamer
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framework future Yangqing Jia
Why Deep Learning?
End-to-End Learning for Many Tasks
What is Deep Learning?
Compositional Models
Learned End-to-End
Hierarchy of Representations
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vision: pixel, motif, part, object
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text: character, word, clause, sentence
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speech: audio, band, phone, word
concrete
abstract
learning
figure credit Yann LeCun, ICML ‘13 tutorial
What is Deep Learning?
Compositional Models
Learned End-to-End
figure credit Yann LeCun, ICML ‘13 tutorial
Back-propagation jointly learns
all of the model parameters to
optimize the output for the task.
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