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author | cloudygoose <[email protected]> | 2015-06-21 10:50:46 +0800 |
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committer | cloudygoose <[email protected]> | 2015-06-21 10:50:46 +0800 |
commit | ad2c4013dec71667d6bbd5e9a249df2085208507 (patch) | |
tree | 474c536ff4a7d757bb61915a1bfc7a073f40d09f /examples/test_nn_lib.lua | |
parent | 839d938df0d83ec311c5d1299923c667adff6a87 (diff) | |
parent | f3f4e74eb4dbb8829e5ee136ba4b0c0a7938b551 (diff) |
Merge upstream 'parameter update big-change'.
Merge remote-tracking branch 'upstream/master'
Diffstat (limited to 'examples/test_nn_lib.lua')
-rw-r--r-- | examples/test_nn_lib.lua | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/examples/test_nn_lib.lua b/examples/test_nn_lib.lua index 6fdbd67..5444810 100644 --- a/examples/test_nn_lib.lua +++ b/examples/test_nn_lib.lua @@ -144,17 +144,17 @@ for data in buffer.get_data, buffer do main:back_propagate(err_output, err_input, input, output) main:update(err_input, input, output) --- nerv.utils.printf("cross entropy: %.8f\n", sm.total_ce) --- nerv.utils.printf("correct: %d\n", sm.total_correct) --- nerv.utils.printf("frames: %d\n", sm.total_frames) --- nerv.utils.printf("err/frm: %.8f\n", sm.total_ce / sm.total_frames) --- nerv.utils.printf("accuracy: %.8f\n", sm.total_correct / sm.total_frames) +-- nerv.printf("cross entropy: %.8f\n", sm.total_ce) +-- nerv.printf("correct: %d\n", sm.total_correct) +-- nerv.printf("frames: %d\n", sm.total_frames) +-- nerv.printf("err/frm: %.8f\n", sm.total_ce / sm.total_frames) +-- nerv.printf("accuracy: %.8f\n", sm.total_correct / sm.total_frames) collectgarbage("collect") end -nerv.utils.printf("cross entropy: %.8f\n", sm.total_ce) -nerv.utils.printf("correct: %d\n", sm.total_correct) -nerv.utils.printf("accuracy: %.3f%%\n", sm.total_correct / sm.total_frames * 100) -nerv.utils.printf("writing back...\n") +nerv.printf("cross entropy: %.8f\n", sm.total_ce) +nerv.printf("correct: %d\n", sm.total_correct) +nerv.printf("accuracy: %.3f%%\n", sm.total_correct / sm.total_frames * 100) +nerv.printf("writing back...\n") cf = nerv.ChunkFile("output.nerv", "w") for i, p in ipairs(main:get_params()) do print(p) |