Question: what is the difference between perceptron and a sigmoid neurons with regard to machine learning?
Answer: Perceptron can have only one output , and output at perceptron can be used as inputs to several other perceptrons . ... Just like perceptron, sigmoid neuron has weights for each input and an overall bias ( say b ) . BUT the output is not 0 or 1 rather sigma * ( weight * inputs + bias ) , sigma = sigmoid function .