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2014-09-21fix cifar10 paths so they can be run from caffe rootJeff Donahue2-12/+14
2014-09-21Back-mergeEvan Shelhamer3-333/+34
define up-to-date all-in-one model for pascal finetuning load transform params in window data layer include WindowDataLayer in data param upgrade Fix typo in LRN-expression in docs
2014-09-21define up-to-date all-in-one model for pascal finetuningEvan Shelhamer3-333/+34
2014-09-19Back-mergeEvan Shelhamer1-3/+3
2014-09-19Merge pull request #1117 from ronghanghu/fix-finetune-exampleEvan Shelhamer1-3/+3
[fix] set R-CNN fine-tuning PASCAL example paths
2014-09-20fix directory in finetune pascal exampleRonghang Hu1-3/+3
2014-09-19fix cifar10 paths so they can be run from caffe rootJeff Donahue2-12/+14
2014-09-18[example] groom siamese notebookEvan Shelhamer1-24/+13
2014-09-18Merge pull request #959 from nickcarlevaris/contrastive_lossEvan Shelhamer8-0/+930
Add contrastive loss layer, tests, and a siamese network example
2014-09-18[docs] order ipython notebooksEvan Shelhamer5-6/+11
2014-09-18[example] resurrect imagenet training scriptsEvan Shelhamer2-0/+9
2014-09-18[docs] lenet groomingEvan Shelhamer1-8/+11
2014-09-18Updated mnist/readme.md file with additional information.Christos Nikolaou1-13/+16
2014-09-17Update readme.md files of cifar10 and mnist examples. Fixed broken links.Christos Nikolaou2-6/+20
2014-09-16[example] update paths in net surgeryEvan Shelhamer2-22/+24
2014-09-08Added contrastive loss layer, associated tests, and a siamese network ↵Nick Carlevaris-Bianco8-0/+930
example using shared weights and the contrastive loss.
2014-09-07fix transform_param in mnist_autoencoder.prototxtJeff Donahue1-3/+3
2014-09-05Merge pull request #1039 from sergeyk/devEvan Shelhamer5-0/+1119
[example] HDF5 classification
2014-09-05added a two-layer network that gets higher accuracySergey Karayev3-203/+744
2014-09-04fix fine-tuning example: paths, test acc., and total fine-tuning timeEvan Shelhamer1-32/+33
2014-09-04HDF5 classification exampleSergey Karayev3-0/+578
2014-09-04[example] update ImageNet timing for K40Evan Shelhamer1-1/+1
2014-09-04fix model download advice and prototxt name for fine-tuningEvan Shelhamer1-1/+1
2014-09-04script to upload/update model info as gistSergey Karayev1-2/+2
2014-09-04flickr style fine-tuning model (separated from example read me)Sergey Karayev3-371/+11
2014-09-04minor fixes to docsSergey Karayev4-4/+4
2014-09-04removed mention of getting_pretrained_models page and old pathsSergey Karayev9-55/+47
2014-09-04updating feature extraction exampleSergey Karayev2-7/+7
2014-09-04removing unneeded scripts from imagenet exampleSergey Karayev5-37/+7
2014-09-04proofread model zooEvan Shelhamer1-3/+3
2014-09-04[models] adding zoo readme; caffenet, alexnet, and rcnn models in zoo formatSergey Karayev11-1474/+11
2014-09-04[docs] default setting for layoutSergey Karayev6-6/+0
2014-09-03[example] convert mnist name fix (crashes xcode compiler)qipeng1-1/+1
2014-09-03[example] drop stale mentions of glog env varEvan Shelhamer2-2/+2
2014-09-03Inline latest lenet_solver.prototxtDaniel Golden1-4/+4
2014-09-03Correct reference to lenet_train_test.prototxtDaniel Golden1-1/+1
Not lenet.prototxt
2014-09-03Point to local file, not github fileDaniel Golden1-1/+1
This makes the readme file more consistent
2014-09-03Update pathsDaniel Golden1-3/+3
2014-09-03[example] upgrade fine-tuning example to new transformation paramEvan Shelhamer1-10/+10
2014-09-03Move transform param one level up in the proto to reduce redundancyKai Li8-58/+58
2014-09-02fixed relative path and prefix for adagrad-optimised autoencoder snapshotsMohamed Omran1-1/+1
2014-09-01make MNIST autoencoder solvers start from base_lr 0.01 and step (muchJeff Donahue3-10/+14
better performance) and terminate at iter 65K
2014-09-01make adagrad/nesterov train scripts follow new "run-from-root"Jeff Donahue2-4/+4
convention
2014-09-01Add "test-on-train" stage to test accuracy on the training data; correctJeff Donahue4-10/+39
test_iter (should be 100 instead of 50)
2014-09-01mnist_autoencoder: always compute both cross-entropy loss and L2Jeff Donahue1-4/+4
(euclidean) error
2014-09-01Re-added solver switch into the new caffe main excutable; fixed AdaGrad ↵qipeng2-2/+1
MNIST example
2014-09-01Added sanity check for AdaGradSolver; added MNIST examples for solversqipeng4-0/+38
2014-09-01use LMDB in mnist autoencoder examplesJeff Donahue1-2/+4
2014-08-31include comment on CPU mode fine-tuning for Flickr exampleEvan Shelhamer1-0/+2
2014-08-31updated lenet_train_test.prototxt + minor correction to create_mnist.shMohamed Omran2-4/+6
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