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对于RBM,你使用输入v和重构的v_之间的误差去反向传播训练单层RBM,这是正确的吗? 真正的CD_k算法的确是使用v和v_去计算更新梯度,但这是为了效率而使用Gibbs采样所做的妥协,梯度下上升的真正目标函数是对数似然函数,而不是v和v_的误差函数,你觉得我这样说对吗?希望你能回复我。
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对于RBM,你使用输入v和重构的v_之间的误差去反向传播训练单层RBM,这是正确的吗?
真正的CD_k算法的确是使用v和v_去计算更新梯度,但这是为了效率而使用Gibbs采样所做的妥协,梯度下上升的真正目标函数是对数似然函数,而不是v和v_的误差函数,你觉得我这样说对吗?希望你能回复我。
The text was updated successfully, but these errors were encountered: