Suppose you use Batch Gradient Descent to train a neural network and you plot the training error at every epoch. If you notice t
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Answer:
Follows are the code to this question:
def FindPair(Values,SUM):#defining a method FindPair
found=False;#defining a boolean variable found
for i in Values:#defining loop for check Value
for j in Values:#defining loop for check Value
if (i+j ==SUM):#defining if block that check i+j=sum
found=True;#assign value True in boolean variable
x=i;#defining a variable x that holds i value
y=j;#defining a variable x that holds j value
break;#use break keyword
if(found==True):#defining if block that checks found equal to True
print("(",x,",",y,")");#print value
else:#defining else block
print("Sorry there is no such pair of values.");#print message
Values=[3,8,13,2,17,18,10];#defining a list and assign Values
SUM=20;#defining SUM variable
FindPair(Values,SUM);#calling a method FindPair
Output:
please find the attachment:
Explanation:
In the above python code a method, "FindPair" is defined, which accepts a "list and SUM" variable in its parameter, inside the method "found" a boolean variable is defined, that holds a value "false".
- Inside the method, two for loop is defined, that holds list element value, and in if block, it checks its added value is equal to the SUM. If the condition is true, it changes the boolean variable value and defines the "x,y" variable, that holds its value.
- In the next if the block, it checks the boolean variable value, if the condition is true, it will print the "x,y" value, otherwise, it will print a message.
