[ etiona ]
[ 原始碼： lua-torch-optim ]
套件： lua-torch-optim (0~20170208-g656c42a-3)
lua-torch-optim 的相關超連結
Trisquel 的資源：
下載原始碼套件 lua-torch-optim：
- [lua-torch-optim_0~20170208-g656c42a-3.dsc]
- [lua-torch-optim_0~20170208-g656c42a.orig.tar.gz]
- [lua-torch-optim_0~20170208-g656c42a-3.debian.tar.xz]
維護者：
Original Maintainers:
- Debian Science Maintainers (郵件存檔)
- Mo Zhou
外部的資源：
- 主頁 [github.com]
相似套件：
Numeric Optimization Package for Torch Framework
This package contains several optimization routines and a logger for Torch.
The following algorithms are provided:
* Stochastic Gradient Descent * Averaged Stochastic Gradient Descent * L-BFGS * Congugate Gradients * AdaDelta * AdaGrad * Adam * AdaMax * FISTA with backtracking line search * Nesterov's Accelerated Gradient method * RMSprop * Rprop * CMAESAll these algorithms are designed to support batch optimization as well as stochastic optimization. It's up to the user to construct an objective function that represents the batch, mini-batch, or single sample on which to evaluate the objective.
This package provides also logging and live plotting capabilities via the `optim.Logger()` function. Live logging is essential to monitor the network accuracy and cost function during training and testing, for spotting under- and over-fitting, for early stopping or just for monitoring the health of the current optimisation task.
其他與 lua-torch-optim 有關的套件
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- dep: lua-torch-torch7
- Torch Package for Torch Framework
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- dep: lua-torch-xlua
- Lua Extension Package for Torch Framework