caffe/examples
Kai Li 7219dbb121 Check data size when converting images into leveldb 2014-02-11 19:40:21 +08:00
..
convert_cifar_data.cpp script to convert cifar data 2013-10-30 16:52:34 -07:00
convert_imageset.cpp Check data size when converting images into leveldb 2014-02-11 19:40:21 +08:00
convert_mnist_data.cpp mnist updates 2013-10-16 13:03:03 -07:00
demo_compute_image_mean.cpp distributed server update. bug in synchronous connections. 2013-11-06 15:27:26 -08:00
device_query.cpp Rename devicequery.cpp to device_query.cpp 2014-02-05 11:09:00 -08:00
dump_network.cpp Made a major change: when initializing a network, the input size are no longer provided by an additional vector of blobs, but should be specified in the netparameters proto by the field "input_dim". This avoid the often awkward code of creating a dummy input vector just for the sake of initializing the network. 2013-11-15 16:58:53 -08:00
finetune_net.cpp Several changes: 2013-12-02 15:44:43 -08:00
imagenet.prototxt Made a major change: when initializing a network, the input size are no longer provided by an additional vector of blobs, but should be specified in the netparameters proto by the field "input_dim". This avoid the often awkward code of creating a dummy input vector just for the sake of initializing the network. 2013-11-15 16:58:53 -08:00
imagenet_deploy.prototxt imagenet deploy prototxt: instead of having a data layer, this network proto takes an external blob called data. The shape is hardcoded to accompany the imagenet python wrapper at python/caffe/imagenet/wrapper.py. You need to change the shape if you intend to use other shapes. 2013-11-18 16:06:33 -08:00
imagenet_solver.prototxt fix ImageNet solver max iteration typo 2014-01-25 22:33:18 -08:00
imagenet_val.prototxt change imagenet_val batch size from 200 to intended 50 2013-12-22 13:13:47 -08:00
net_speed_benchmark.cpp More detailed net_speed_benchmark 2014-02-07 09:55:57 -08:00
synset_words.txt cleanup whitespace 2014-01-19 14:34:12 -08:00
test_net.cpp Made a major change: when initializing a network, the input size are no longer provided by an additional vector of blobs, but should be specified in the netparameters proto by the field "input_dim". This avoid the often awkward code of creating a dummy input vector just for the sake of initializing the network. 2013-11-15 16:58:53 -08:00
train_net.cpp Several changes: 2013-12-02 15:44:43 -08:00