Review07 [coursera] Machine learning - Stanford University - Andrew Ng

Neural Networks: Representation

 

Any logical function over binary-valued (0 or 1) inputs x1 and x2 can be (approximately) represented using some neural network. T

The activation values of the hidden units in a neural network, with the sigmoid activation function applied at every layer, are always in the range (0, 1).  T

A two layer (one input layer, one output layer; no hidden layer) neural network can represent the XOR function.   F   XOR is actually implemented as NOT XOR.