optim (DiffSharp)

optim Type

Namespace: DiffSharp.Optim
Assembly: DiffSharp.Core.dll
Base Type: obj

TBD

Static members

Static member	Description
`optim.adam (model, dataloader, loss, ?lr, ?beta1, ?beta2, ?eps, ?weightDecay, ?reversible, ?iters, ?epochs, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Full Usage: `optim.adam (model, dataloader, loss, ?lr, ?beta1, ?beta2, ?eps, ?weightDecay, ?reversible, ?iters, ?epochs, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Parameters: model : `Model` dataloader : `DataLoader` loss : `Tensor -> Tensor -> Tensor` ?lr : `Tensor` ?beta1 : `Tensor` ?beta2 : `Tensor` ?eps : `Tensor` ?weightDecay : `Tensor` ?reversible : `bool` ?iters : `int` ?epochs : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string`	TBD model : `Model` dataloader : `DataLoader` loss : `Tensor -> Tensor -> Tensor` ?lr : `Tensor` ?beta1 : `Tensor` ?beta2 : `Tensor` ?eps : `Tensor` ?weightDecay : `Tensor` ?reversible : `bool` ?iters : `int` ?epochs : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string`
`optim.adam (f, x0, ?lr, ?beta1, ?beta2, ?eps, ?iters, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Full Usage: `optim.adam (f, x0, ?lr, ?beta1, ?beta2, ?eps, ?iters, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Parameters: f : `Tensor -> Tensor` x0 : `Tensor` ?lr : `Tensor` ?beta1 : `Tensor` ?beta2 : `Tensor` ?eps : `Tensor` ?iters : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string` Returns: `Tensor * Tensor`	TBD f : `Tensor -> Tensor` x0 : `Tensor` ?lr : `Tensor` ?beta1 : `Tensor` ?beta2 : `Tensor` ?eps : `Tensor` ?iters : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string` Returns: `Tensor * Tensor`
`optim.sgd (model, dataloader, loss, ?lr, ?momentum, ?nesterov, ?weightDecay, ?reversible, ?iters, ?epochs, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Full Usage: `optim.sgd (model, dataloader, loss, ?lr, ?momentum, ?nesterov, ?weightDecay, ?reversible, ?iters, ?epochs, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Parameters: model : `Model` dataloader : `DataLoader` loss : `Tensor -> Tensor -> Tensor` ?lr : `Tensor` ?momentum : `Tensor` ?nesterov : `bool` ?weightDecay : `Tensor` ?reversible : `bool` ?iters : `int` ?epochs : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string`	TBD model : `Model` dataloader : `DataLoader` loss : `Tensor -> Tensor -> Tensor` ?lr : `Tensor` ?momentum : `Tensor` ?nesterov : `bool` ?weightDecay : `Tensor` ?reversible : `bool` ?iters : `int` ?epochs : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string`
`optim.sgd (f, x0, ?lr, ?momentum, ?nesterov, ?iters, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Full Usage: `optim.sgd (f, x0, ?lr, ?momentum, ?nesterov, ?iters, ?threshold, ?print, ?printEvery, ?printPrefix, ?printPostfix)` Parameters: f : `Tensor -> Tensor` x0 : `Tensor` ?lr : `Tensor` ?momentum : `Tensor` ?nesterov : `bool` ?iters : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string` Returns: `Tensor * Tensor`	TBD f : `Tensor -> Tensor` x0 : `Tensor` ?lr : `Tensor` ?momentum : `Tensor` ?nesterov : `bool` ?iters : `int` ?threshold : `double` ?print : `bool` ?printEvery : `int` ?printPrefix : `string` ?printPostfix : `string` Returns: `Tensor * Tensor`

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