# Are Perceptrons the neural network equivalence of Linear and Logistic Regression?

am I right in the assumption that both linear and logistic regression algorithms can be represented as the simplest form of neural networks,a perceptron, which consists of a two layers, an Input and an output, that combines all the input each with it's own respective weight to produces a prediction or classification polynomial?

if this is the case, is anything achievable by Linear or Logistic Regression is also achievable by a perceptron?