DiscriminativeNetwork

class DiscriminativeNetwork

Базовые классы: ABC

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

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