Uses of Interface
io.github.kirstenali.deepj.loss.LossFunction

Packages that use LossFunction

Package	Description
io.github.kirstenali.deepj.loss
io.github.kirstenali.deepj.nn	Neural networks composed from DeepJ tensors, layers, autograd and backend operations.
io.github.kirstenali.deepj.training

Uses of LossFunction in io.github.kirstenali.deepj.loss

Classes in io.github.kirstenali.deepj.loss that implement LossFunction

Modifier and Type	Class	Description
final class	CrossEntropyLoss
class	MSELoss	Mean squared error over equal, nonempty shapes, with FLOAT32 loss and gradients.

Uses of LossFunction in io.github.kirstenali.deepj.nn

Methods in io.github.kirstenali.deepj.nn with parameters of type LossFunction

Modifier and Type	Method	Description
static Trainer	NdSupervisedTraining.trainer(Layer model, LossFunction loss, ParameterOptimizer optimizer, Tensor inputs, Tensor targets, long seed)

Uses of LossFunction in io.github.kirstenali.deepj.training

Methods in io.github.kirstenali.deepj.training with parameters of type LossFunction

Modifier and Type	Method	Description
static Trainer	SupervisedTraining.trainer(Layer model, LossFunction lossFn, ParameterOptimizer opt, Tensor xAll, Tensor yAll, long seed)