changeset 371:22463a194c90

Update doc
author Joseph Turian <turian@gmail.com>
date Mon, 07 Jul 2008 01:57:49 -0400
parents a1bbcde6b456
children 75bab24bb2d8
files sparse_random_autoassociator/main.py
diffstat 1 files changed, 4 insertions(+), 4 deletions(-) [+]
line wrap: on
line diff
--- a/sparse_random_autoassociator/main.py	Mon Jul 07 01:54:46 2008 -0400
+++ b/sparse_random_autoassociator/main.py	Mon Jul 07 01:57:49 2008 -0400
@@ -7,10 +7,10 @@
        h   = sigmoid(dot(x, w1) + b1)
        y   = sigmoid(dot(h, w2) + b2)
 
-    We assume that most of the inputs are zero, and hence that we can
-    separate x into xnonzero, x's nonzero components, and a xzero,
-    a sample of the zeros. (We randomly without replacement choose
-    ZERO_SAMPLE_SIZE zero columns.)
+    We assume that most of the inputs are zero, and hence that
+    we can separate x into xnonzero, x's nonzero components, and
+    xzero, a sample of the zeros. We sample---randomly without
+    replacement---ZERO_SAMPLE_SIZE zero columns from x.
 
     The desideratum is that every nonzero entry is separated from every
     zero entry by margin at least MARGIN.