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authorDaniel Golden <dgolden1@gmail.com>2014-09-03 14:13:18 -0700
committerDaniel Golden <dgolden1@gmail.com>2014-09-03 14:15:01 -0700
commita865a235764fdadc9df7029e67b5e31c1a70a892 (patch)
treed7c96be6031fcf7a8f0a1b17e6f7d879e0a00df0 /examples
parentf9a67784b02a62a41aa68fc485b0f13d505d3c17 (diff)
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Inline latest lenet_solver.prototxt
Diffstat (limited to 'examples')
-rw-r--r--examples/mnist/readme.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/examples/mnist/readme.md b/examples/mnist/readme.md
index 13354916..ae294cff 100644
--- a/examples/mnist/readme.md
+++ b/examples/mnist/readme.md
@@ -179,7 +179,7 @@ The `softmax_loss` layer implements both the softmax and the multinomial logisti
Check out the comments explaining each line in the prototxt `$CAFFE_ROOT/examples/mnist/lenet_solver.prototxt`:
# The train/test net protocol buffer definition
- net: "lenet_train_test.prototxt"
+ net: "examples/mnist/lenet_train_test.prototxt"
# test_iter specifies how many forward passes the test should carry out.
# In the case of MNIST, we have test batch size 100 and 100 test iterations,
# covering the full 10,000 testing images.
@@ -200,9 +200,9 @@ Check out the comments explaining each line in the prototxt `$CAFFE_ROOT/example
max_iter: 10000
# snapshot intermediate results
snapshot: 5000
- snapshot_prefix: "lenet"
- # solver mode: 0 for CPU and 1 for GPU
- solver_mode: 1
+ snapshot_prefix: "examples/mnist/lenet"
+ # solver mode: CPU or GPU
+ solver_mode: GPU
## Training and Testing the Model