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or gate:
import pandas as pd
data={'Input1':[1,1,0,0],'Input2':[1,0,1,0],'Output':[1,1,1,0]}
df_OR=pd.DataFrame(data)
df_OR
inputs=df_OR.iloc[:,0:2]
output=df_OR.iloc[:,2]
import numpy as np
# Single layer perceptron -- OR Gate
def unit(a):
if a>0:
return 1
else:
return 0
def percep(x,w,b):
v=np.dot(x,w)+b
return unit(v)
def orgate(x):
w=np.array([2,2])
b=-1
return percep(x,w,b)
t1=np.array(inputs.iloc[0])
t2=np.array(inputs.iloc[1])
t3=np.array(inputs.iloc[2])
t4=np.array(inputs.iloc[3])
print('OR({},{}) = {}'.format(1,1,orgate(t1)))
print('OR({},{}) = {}'.format(1,0,orgate(t2)))
print('OR({},{}) = {}'.format(0,1,orgate(t3)))
print('OR({},{}) = {}'.format(0,0,orgate(t4)))
# McCulloch-Pitts Neuron -- OR Gate
def func_or(a):
if a>=1:
return 1
else:
return 0
def orgate(x):
v=np.sum(x)
return func_or(v)
t1=np.array(inputs.iloc[0])
t2=np.array(inputs.iloc[1])
t3=np.array(inputs.iloc[2])
t4=np.array(inputs.iloc[3])
print('OR({},{}) = {}'.format(1,1,orgate(t1)))
print('OR({},{}) = {}'.format(1,0,orgate(t2)))
print('OR({},{}) = {}'.format(0,1,orgate(t3)))
print('OR({},{}) = {}'.format(0,0,orgate(t4)))
And gate:
import pandas as pd
data1={'Input1':[1,1,0,0],'Input2':[1,0,1,0],'Output':[1,0,0,0]}
df_AND=pd.DataFrame(data)
df_AND
inputs_and=df_AND.iloc[:,0:2]
output_and=df_AND.iloc[:,2]
import numpy as np
# Single layer perceptron -- AND Gate
import numpy as np
def unit(a):
if a>0:
return 1
else:
return 0
def percep(x,w,b):
v=np.dot(x,w)+b
return unit(v)
def andgate(x):
weight=np.array([1,1])
bias=-1
return percep(x,weight,bias)
t1=np.array(inputs_and.iloc[0])
t2=np.array(inputs_and.iloc[1])
t3=np.array(inputs_and.iloc[2])
t4=np.array(inputs_and.iloc[3])
print('AND({},{}) = {}'.format(1,1,andgate(t1)))
print('AND({},{}) = {}'.format(1,0,andgate(t2)))
print('AND({},{}) = {}'.format(0,1,andgate(t3)))
print('AND({},{}) = {}'.format(0,0,andgate(t4)))
# McCulloch-Pitts Neuron -- AND Gate
import numpy as np
def func(x,v):
if v==len(x):
return 1
else:
return 0
def andgate(x):
v=np.sum(x)
return func(x,v)
t1=np.array(inputs_and.iloc[0])
t2=np.array(inputs_and.iloc[1])
t3=np.array(inputs_and.iloc[2])
t4=np.array(inputs_and.iloc[3])
print('AND({},{}) = {}'.format(1,1,andgate(t1)))
print('AND({},{}) = {}'.format(1,0,andgate(t2)))
print('AND({},{}) = {}'.format(0,1,andgate(t3)))
print('AND({},{}) = {}'.format(0,0,andgate(t4)))
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