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机译:基于随机计算的深度卷积神经网络的归一化和辍学
Univ Southern Calif, Dept Elect Engn, Los Angeles, CA 90089 USA;
Univ Southern Calif, Dept Elect Engn, Los Angeles, CA 90089 USA;
Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13210 USA;
Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13210 USA;
Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13210 USA;
Univ Southern Calif, Dept Elect Engn, Los Angeles, CA 90089 USA|Univ Southern Calif, Informat Sci Inst, Marina Del Rey, CA 90292 USA;
Univ Southern Calif, Dept Elect Engn, Los Angeles, CA 90089 USA;
Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13210 USA;
CUNY City Coll, Dept Elect Engn, New York, NY 10031 USA;
Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13210 USA;
Deep learning; Deep convolutional neural networks; Dropout; Normalization;
机译:基于切换计基于卷积神经网络的标准化和辍学
机译:具有随机汇集,批量标准化和辍学的八层卷积神经网络,用于铭牌识别中文手语的识别
机译:通过九层卷积神经网络具有批量归一化和辍学的感觉文体听力识别
机译:DPS:基于随机计算的深度神经网络的动态精度缩放 * sup>
机译:基于卷积神经网络和递归神经网络的深度神经语言文本分类模型
机译:通过14层卷积神经网络进行批处理归一化辍学和随机合并的多发性硬化症鉴定
机译:基于辍学和随机梯度下降优化器的修改的卷积神经网络