DiscriminativeNetwork

class DiscriminativeNetwork

Base class for discriminative Quantum or Classical Neural Networks.

This method should initialize the module but raise an exception if a required component of the module is not available.

Methods

DiscriminativeNetwork.get_label(x)	Apply quantum/classical neural network to the given input sample and compute the respective data label
DiscriminativeNetwork.loss(x, y[, weights])	Loss function used for optimization
DiscriminativeNetwork.set_seed(seed)	Set seed.
DiscriminativeNetwork.train(data, weights[, …])	Perform one training step w.r.t to the discriminator’s parameters