Hopfield Networks to recognize the given patterns

he problem is to design a Hopfield network that can be used to recall patterns that have been
stored in it which can serve as a content addressable associative memory. We need to test the
performance of the network by corrupting the input patterns with 25% noise so that it
converges with one of the patterns that it has been trained with that best matches the input
pattern. Further, we need to implement the learning procedures and evaluate the performance
of the network and obtain the desired results.