Pointer Networks are a neural network architecture designed to learn the conditional probability of an output sequence with elements that are discrete tokens corresponding to positions in an input ...
x=((a*3)+(b*3)+(c*4)+(d*3)+(e*3)+(f)+(g)+(h)+(i)+(j))/(3+3+4+3+3+1+1+1+1+1) print("your pointer for 1st semester is",x) # a=int(input("the pointer of LA:\n")) # b=int ...
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