中文版 mxnet
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
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RMSProp算法
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1 | 1228 | September 27, 2023 |
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循环神经网络的从零开始实现
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3 | 1583 | September 15, 2023 |
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语义分割和数据集
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1 | 1350 | June 30, 2023 |
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深度卷积神经网络（AlexNet）
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4 | 2649 | May 7, 2023 |
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含并行连结的网络（GoogLeNet）
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1 | 1279 | May 7, 2023 |
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网络中的网络（NiN）
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2 | 1459 | May 7, 2023 |
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层和块
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2 | 1649 | January 27, 2023 |
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单发多框检测（SSD）
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3 | 1401 | November 21, 2022 |
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风格迁移
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0 | 979 | June 14, 2021 |
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批量规范化
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0 | 1202 | January 14, 2021 |
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汇聚层
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0 | 1193 | January 14, 2021 |
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图像卷积
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1 | 1462 | October 23, 2022 |
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读写文件
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2 | 1782 | August 11, 2022 |
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Bahdanau 注意力
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2 | 1417 | July 27, 2022 |
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多GPU训练
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0 | 1200 | May 8, 2021 |
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自动并行
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0 | 904 | May 8, 2021 |
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编译器和解释器
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0 | 1042 | May 8, 2021 |
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学习率调度器
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0 | 914 | September 2, 2021 |
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Adam算法
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0 | 1031 | September 2, 2021 |
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Adadelta
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0 | 788 | December 7, 2021 |
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AdaGrad算法
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0 | 803 | September 2, 2021 |
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动量法
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0 | 963 | September 2, 2021 |
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小批量随机梯度下降
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0 | 800 | September 2, 2021 |
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梯度下降
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0 | 909 | July 29, 2021 |
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优化和深度学习
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0 | 1106 | July 29, 2021 |
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多头注意力
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0 | 1045 | December 7, 2021 |
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注意力汇聚：Nadaraya-Watson 核回归
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0 | 1035 | December 7, 2021 |
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序列到序列学习（seq2seq）
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0 | 1235 | May 8, 2021 |
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编码器-解码器结构
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0 | 1112 | May 8, 2021 |
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机器翻译与数据集
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0 | 888 | May 8, 2021 |