What is Perceptron Learning Algorithm in Deep Learning
Perceptron Learning Algorithm is an algorithm or a way to train the weights of the Perceptron. This was proposed by Minsky and Papert in 1969.
What is Perceptron Explained in a Simple Way
Perceptron is more general computational model than McCulloch Pitts Neuron. It has Numerical Weights for inputs and a mechanism for learning these Weights.
Mcculloch Pitts Neuron Explanation – Simplest Way
Mcculloch Pitts Neuron can be used to represent Boolean functions which are linearly separable. This is the First Artificial Neural Model in A.I.
