From d512d0c5c5efc276db7c864b6b5b6da41824cd88 Mon Sep 17 00:00:00 2001 From: Aaron Schumacher Date: Mon, 15 Jun 2015 19:53:05 -0400 Subject: [PATCH] typo: "a fixed steps" to "at fixed steps" fixing in the correct place as per @shelhamer's advice from #2602 --- examples/mnist/readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/mnist/readme.md b/examples/mnist/readme.md index 269e53a..413d4a1 100644 --- a/examples/mnist/readme.md +++ b/examples/mnist/readme.md @@ -283,5 +283,5 @@ and you will be using CPU for training. Isn't that easy? MNIST is a small dataset, so training with GPU does not really introduce too much benefit due to communication overheads. On larger datasets with more complex models, such as ImageNet, the computation speed difference will be more significant. -### How to reduce the learning rate a fixed steps? +### How to reduce the learning rate at fixed steps? Look at lenet_multistep_solver.prototxt -- 2.7.4