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BVLC / caffe

Caffe: a fast open framework for deep learning.
http://caffe.berkeleyvision.org/
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Add locally connected layer #295

Open kloudkl opened 10 years ago

kloudkl commented 10 years ago

The DeepFace network architecture of Facebook [1] used locally connected layer to accelerate the training process while achieving very high classification accuracy. Whether such a network is able to compete with the one proposed by Krizhevsky et. al. on more generic datasets has not been explored since its publication. If it is the case, a lot of time to train models can be saved.

Please refer to #216 for more papers.

[1] Yaniv Taigman (Facebook), Ming Yang (Facebook), Marc'Aurelio Ranzato (Facebook), Lior Wolf (Tel Aviv University). DeepFace: Closing the Gap to Human-Level Performance in Face Verification. CVPR 2014, Columbus, Ohio. [2] Krizhevsky, A., Sutskever, I. and Hinton, G. E. ImageNet Classification with Deep Convolutional Neural Networks. NIPS 2012: Neural Information Processing Systems, Lake Tahoe, Nevada.

kloudkl commented 10 years ago

Related issue: #259.

benjaminklein commented 10 years ago

Hi, I wanted to ask if you implemented the locally connected layer and willing to share the code? Thank you.

lixin7895123 commented 10 years ago

Hi, it's been six months from Apr 5, how about your implemention of locally connected layer? Is it nearly done?Thank you! @kloudkl

shelhamer commented 10 years ago

Follow up at #1271 for an in-progress locally-connected layer.

rodrigob commented 8 years ago

Seems like the push request has now moved to #3068