Topic | Replies | Views | Activity | |
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Distributions |
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1 | 420 | April 2, 2023 |
自动求导 |
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58 | 13063 | April 2, 2023 |
微分 |
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67 | 11591 | April 2, 2023 |
数据预处理 |
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90 | 12770 | April 1, 2023 |
Dropout |
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60 | 6775 | April 1, 2023 |
线性代数 |
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58 | 11959 | April 1, 2023 |
数据操作 |
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41 | 16690 | April 1, 2023 |
深度卷积神经网络(AlexNet) |
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32 | 5938 | April 1, 2023 |
实战 Kaggle 比赛:预测房价 |
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42 | 8672 | April 1, 2023 |
多层感知机的从零实现 |
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53 | 7087 | April 1, 2023 |
来自Transformers的双向编码器表示(BERT) |
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10 | 942 | March 31, 2023 |
预训练word2vec |
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4 | 844 | March 2, 2023 |
线性回归 |
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52 | 12539 | March 31, 2023 |
语义分割和数据集 |
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10 | 1548 | March 30, 2023 |
卷积神经网络(LeNet) |
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58 | 9720 | March 30, 2023 |
多层感知机 |
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20 | 4859 | March 30, 2023 |
序列模型 |
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10 | 2474 | March 30, 2023 |
概率 |
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49 | 6506 | March 30, 2023 |
From Fully Connected Layers to Convolutions |
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35 | 3793 | March 29, 2023 |
线性回归的简洁实现 |
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55 | 11514 | March 29, 2023 |
残差网络(ResNet) |
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45 | 9443 | March 29, 2023 |
Generative Adversarial Networks |
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9 | 995 | March 28, 2023 |
Deep Convolutional Generative Adversarial Networks |
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4 | 390 | March 28, 2023 |
批量规范化 |
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27 | 3618 | March 28, 2023 |
Softmax回归的从零实现 |
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106 | 11864 | March 28, 2023 |
网络中的网络(NiN) |
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29 | 4936 | March 28, 2023 |
使用块的网络(VGG) |
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29 | 4779 | March 27, 2023 |
Softmax回归的简洁实现 |
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76 | 7519 | March 27, 2023 |
Bahdanau 注意力 |
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13 | 1388 | March 27, 2023 |
Random Variables |
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5 | 600 | March 27, 2023 |