bigbatch_sgd.hpp File Reference
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Classes | |
| class | BigBatchSGD< UpdatePolicyType > |
| Big-batch Stochastic Gradient Descent is a technique for minimizing a function which can be expressed as a sum of other functions. More... | |
Namespaces | |
| mlpack | |
.hpp | |
| mlpack::optimization | |
Typedefs | |
| using | BBS_Armijo = BigBatchSGD< BacktrackingLineSearch > |
| using | BBS_BB = BigBatchSGD< AdaptiveStepsize > |
Detailed Description
Definition of Big-batch Stochastic Gradient Descent (BBSGD) as described in: "Big Batch SGD: Automated Inference using Adaptive Batch Sizes" by Soham De et al.
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Definition in file bigbatch_sgd.hpp.