anton/mlpractical
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Stabilized softmax use instead of unstable version

Browse Source
This commit is contained in:
AntreasAntoniou 2017-11-10 19:13:54 +00:00
parent e7fc62cd09
commit 6a0cdbea3a
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
mlp/errors.py
View File

@ -154,7 +154,7 @@ class CrossEntropySoftmaxError(object):
Returns:
Scalar error function value.
"""
probs = np.exp(outputs)
probs = np.exp(outputs - outputs.max(-1)[:, None])
probs /= probs.sum(-1)[:, None]
return -np.mean(np.sum(targets * np.log(probs), axis=1))
@ -168,7 +168,7 @@ class CrossEntropySoftmaxError(object):
Returns:
Gradient of error function with respect to outputs.
"""
probs = np.exp(outputs)
probs = np.exp(outputs - outputs.max(-1)[:, None])
probs /= probs.sum(-1)[:, None]
return (probs - targets) / outputs.shape[0]