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-rw-r--r--Demos/benchmarks/bpnn3.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/Demos/benchmarks/bpnn3.py b/Demos/benchmarks/bpnn3.py
index 362bc2703..8498bd898 100644
--- a/Demos/benchmarks/bpnn3.py
+++ b/Demos/benchmarks/bpnn3.py
@@ -1,7 +1,7 @@
#!/usr/bin/python
# Back-Propagation Neural Networks
#
-# Written in Python. See http://www.python.org/
+# Written in Python. See https://www.python.org/
#
# Neil Schemenauer <nascheme@enme.ucalgary.ca>
@@ -29,7 +29,7 @@ class NN(object):
# print 'class NN'
def __init__(self, ni, nh, no):
# number of input, hidden, and output nodes
- self.ni = ni + 1 # +1 for bias node
+ self.ni = ni + 1 # +1 for bias node
self.nh = nh
self.no = no
@@ -67,7 +67,7 @@ class NN(object):
for j in range(self.nh):
sum = 0.0
for i in range(self.ni):
- sum = sum + self.ai[i] * self.wi[i][j]
+ sum = sum + self.ai[i] * self.wi[i][j]
self.ah[j] = 1.0/(1.0+math.exp(-sum))
# output activations