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Implementaion of Logic Gates using Perceptron

Logic Gates to implement for 3 i/p variables.

OR
NOT
XOR
XNOR
NAND
NOR
AND

Perceptron model function

$$ z = \sum_{i=1}^m(w_i * x_i) +b $$

Sigmoid Function

$$ f(z) = \frac{1}{1 + e^{-z}} $$

Part 1. Write a tensorflow program to implement a perceptron using functions described above for AND , OR and NAND logic gates. Choose weights and bias values accordingly.

Part 2.

Use tensorflow library functions (Logical/Linear Regression )to find optimal weights and bias for all above mentioned gates.
Discuss the values choosen for epoch and stopping convergence. Plot the graph for accuracy v/s epoch.