what is the difference between a seed and a perceptron how to implement perceptron what is the scale of the misclassified training points when to implement perceptron algorithm what is the seed plane for perceptron? which plane does a perceptron run on? why does perceptron get confused if a data is seeded in a perceptron algorithm, the difference between the two planes is what is perceptron algorithm what is error in perceptron what is the difference between a hybrid repmat and a perceptron what is the scaling factor for a perceptron what is the repmat for a perceptron what is the difference between a seed and a perceptron what is the difference between seed and perceptron what does seed hyperplane mean what is the perceptron algorithm called why is it difficult to implement perceptron algorithm why does the seed plane have an error in perceptron what kind of plane is train12_p5