diff --git a/Hopfield.pdf b/Hopfield.pdf
new file mode 100644
index 0000000..9ddc655
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diff --git a/hopfield.py b/hopfield.py
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index 0000000..0153ea2
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+++ b/hopfield.py
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+import os
+import sys
+import numpy as num
+train_data = []
+weightSum = num.zeros((63,63) , dtype=float)
+
+def Readfile():
+ 
+    with open("training-data.txt") as file:
+        cnt,ind = 0,0
+        train = num.zeros(63, dtype=float)
+        for line in file:
+            if cnt == 0:
+                cnt+=1
+                for element in line:
+                    if element=='#':
+                        train[ind] = 1
+                        ind+=1
+                    elif element=='*':
+                        train[ind] = -1
+                        ind+=1
+                    
+            elif cnt==9:
+                cnt,ind = 0,0
+                train_data.append(train)
+                train = num.zeros(63,dtype=float)
+            else:
+                for element in line:
+                    if element=='#':
+                        train[ind] = 1
+                        ind+=1
+                    elif element=='*':
+                        train[ind] = -1
+                        ind+=1
+                    else:
+                        ind = ind
+                cnt+=1
+        return train_data
+ 
+ 
+def weightTotal(train_data):
+    weightSum = num.zeros((63,63) , dtype=float)
+#    print (weightSum)       
+    weight_array = num.zeros((63,63), dtype=float)
+    for i in range (0,7):
+        s = num.zeros((1,63), dtype=float)
+        s = train_data[i]
+        
+        weight_array = num.outer( s, s)
+        weightSum += weight_array
+    weightSum -= 7 * (num.identity(63))
+    return weightSum
+
+def weight(train_data):
+    s = train_data[0]
+    weightSum = num.outer( s, s)
+    weightSum -= num.identity(63)
+    return weightSum
+
+def weight1(train_data):
+    weightSum = num.zeros((63,63) , dtype=float)
+    weight_array = num.zeros((63,63), dtype=float)
+    for i in range (1,2):
+        s = num.zeros((1,63), dtype=float)
+        s = train_data[i]
+        weight_array = num.outer( s, s)
+        weightSum += weight_array
+    weightSum -= 2 * (num.identity(63))
+ #   return weightSum
+
+
+def test(weightSum):
+    test = num.zeros((1,63), dtype=float)
+    ind = 0
+    with open("test.txt") as file:
+        for line in file:
+            
+            for element in line:
+ #               test[ind] = int('element')
+                if element=='1':
+                   test[0][ind] = 1
+                   ind += 1
+                else:
+                    if element=='0':
+                        test[0][ind] = -1
+                        ind += 1
+                    elif element == '/n':
+                        ind += 0
+    print (test)
+    testweight= weightSum
+    epoch = 0
+    while True:
+        old_test = test.copy()
+        y_in = num.zeros((1,63), dtype=float)
+        for i in range (1):
+ #           print (test)
+            for l in range(63):
+                for k in range(63):
+                    x = test[i][k]
+                    y = testweight[k][l]
+                y_in[i][l] += x * y
+                test[0][l] = Actfunc(y_in[0][l])
+        if num.array_equal(old_test, test):
+            break
+        epoch += 1
+    print (epoch)       
+    return test
+
+
+def Actfunc (y_in):
+    y_out = 0 
+    y = y_in
+    if y > 0:
+        y_out += 1
+    else:
+        y_out += -1
+    return y_out
+
+
+def main ():
+    
+    test1 = (weightTotal(Readfile()))
+    test2 = test(weight(Readfile()))
+    test3 = (weight1(Readfile()))
+    print (test1)
+    print (test2)
+    print (test3)
diff --git a/test.txt b/test.txt
new file mode 100644
index 0000000..10033f6
--- /dev/null
+++ b/test.txt
@@ -0,0 +1 @@
+101100001010000001010001010000111000111110010001001000101110111
diff --git a/training-data.txt b/training-data.txt
new file mode 100644
index 0000000..654a90f
--- /dev/null
+++ b/training-data.txt
@@ -0,0 +1,210 @@
+* * # # * * *
+* * * # * * *
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