I've written a short code of a simple neural net:
T=input("enter T: ")
for i in range(int(T)):
N=input("enter N: ")
minX=input("enter minX: ")
maxX=input("enter maxX: ")
for j in range(int(N)):
weight[j]=input("enter weight: ")
bias[j]=input("enter bias: ")
x=minX
nonspammer=0
spammer=0
for k in range(maxX-minX+1):
for l in range(N):
x=x*w[l]+b[l]
if x%2==0:
nonspammer+=1
else:
spammer+=1
x+=1
print(nonspammer,spammer,sep=" ")
This code is giving me the error:
Nameerror: name weight not defined
Could someone help me find out the reason for this error? I'm a beginner to coding in python.
Before for j in range(int(N)):
add the lines
weight=[0 for i in range(N)]
bias=[0 for i in range(N)]
You are trying to access elements of these lists even before declaring them to be lists
You can't get the index of a non-exiting list, so you have to create first like :
for i in range(int(T)):
N=input("enter N: ")
minX=input("enter minX: ")
maxX=input("enter maxX: ")
weight=[0]*int(N)
bias=[0]*int(N)
for j in range(int(N)):
weight[j]=input("enter weight: ")
bias[j]=input("enter bias: ")
or create it empty and append it :
for i in range(int(T)):
N=input("enter N: ")
minX=input("enter minX: ")
maxX=input("enter maxX: ")
weight=[]
bias=[]
for j in range(int(N)):
weight.append(input("enter weight: "))
bias.append(input("enter bias: "))
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