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| author | Jeff Donahue <jeff.donahue@gmail.com> | 2016-04-26 16:11:12 -0700 |
|---|---|---|
| committer | Jeff Donahue <jeff.donahue@gmail.com> | 2016-04-26 16:11:12 -0700 |
| commit | c6d93dac99c79c5cd7e84f00115b2a82f389d692 (patch) | |
| tree | 3d2c3c61addcc4079ead36f80e184bf74e14742f /examples/mnist | |
| parent | d8e2f0526d5748e1a262ba0f80d795c24d5ddfa1 (diff) | |
| parent | bff14b47c58cffa28a71b9e3caba93da2354ab07 (diff) | |
| download | caffeonacl-c6d93dac99c79c5cd7e84f00115b2a82f389d692.tar.gz caffeonacl-c6d93dac99c79c5cd7e84f00115b2a82f389d692.tar.bz2 caffeonacl-c6d93dac99c79c5cd7e84f00115b2a82f389d692.zip | |
Merge pull request #4033 from HeGaoYuan/master
there is a very very small mistake in the LeNet MNIST tutorial
Diffstat (limited to 'examples/mnist')
| -rw-r--r-- | examples/mnist/readme.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/examples/mnist/readme.md b/examples/mnist/readme.md index b87a0f53..35952155 100644 --- a/examples/mnist/readme.md +++ b/examples/mnist/readme.md @@ -248,7 +248,7 @@ These messages tell you the details about each layer, its connections and its ou I1203 solver.cpp:36] Solver scaffolding done. I1203 solver.cpp:44] Solving LeNet -Based on the solver setting, we will print the training loss function every 100 iterations, and test the network every 1000 iterations. You will see messages like this: +Based on the solver setting, we will print the training loss function every 100 iterations, and test the network every 500 iterations. You will see messages like this: I1203 solver.cpp:204] Iteration 100, lr = 0.00992565 I1203 solver.cpp:66] Iteration 100, loss = 0.26044 |