# HG changeset patch
# User Joseph Turian <turian@gmail.com>
# Date 1215410269 14400
# Node ID 22463a194c90d12a49866d7f7ccb5f2f6d03a8ac
# Parent  a1bbcde6b45677872115c0e2e82681cd9ef9e7b0
Update doc

diff -r a1bbcde6b456 -r 22463a194c90 sparse_random_autoassociator/main.py
--- 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.