March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
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124 | Capítulo 4: Treinando Modelos
Gradiente Descendente em Minilotes
O último algoritmo do Gradiente Descendente que analisaremos é denominado Gradiente
Descendente em Minilotes. É fácil entender esse algoritmo quando se sabe Gradiente Des-
cendente em Lotes e Estocástico: em vez de calcular os gradientes a cada etapa com base
no conjunto completo de treinamento (como o GD em Lotes) ou com base em apenas uma
instância (como em GD Estocástico), o GD em Minilotes faz o cálculo dos gradientes em
pequenos conjuntos aleatórios de instâncias chamados de minilotes. A principal vantagem
do GD em Minilotes em relação ao GD Estocástico é que você pode ...
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