data_mining:neural_network:model_combination

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data_mining:neural_network:model_combination [2017/04/01 15:26] – [Approximating full Bayesian learning in a NN] phreazerdata_mining:neural_network:model_combination [2017/08/19 22:12] (current) – [Approximating full Bayesian learning in a NN] phreazer
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 More complicated and effective methods than MCMC method: Don't need to wander the space long. More complicated and effective methods than MCMC method: Don't need to wander the space long.
  
-If we compute gradient of cost function on a **random mini-batch**, we will get an ubiased estimate with sampling noise.+If we compute gradient of cost function on a **random mini-batch**, we will get an unbiased estimate with sampling noise.
  
 +====== Dropout ======
 +See [[data_mining:neural_network:regularization|Regularization]]
  
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  • by phreazer