深度玻尔兹曼机（dbm）

深度玻尔兹曼机（DBM）是由多个受限玻尔兹曼机（RBM）串联堆叠而形成的深层神经网络。与深度信念网络（DBN）相似，DBM的每两层之间都存在双向连接。它们是一种无向概率模型，用于学习和表示复杂的概率分布。DBM可以用于无标签数据的无监督学习任务，如特征提取、降维和生成模型等。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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