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