d2l-en
tensorflow pytorch mxnet
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| About the d2l-en category |
|
1 | 56 | May 21, 2020 |
| Data Manipulation |
|
4 | 135 | September 26, 2020 |
| Multiscale Object Detection |
|
2 | 59 | September 26, 2020 |
| Anchor Boxes |
|
9 | 164 | September 26, 2020 |
| Densely Connected Networks (DenseNet) |
|
2 | 84 | September 26, 2020 |
| Residual Networks (ResNet) |
|
2 | 99 | September 26, 2020 |
| Convolutional Neural Networks (LeNet) |
|
6 | 137 | September 25, 2020 |
| Networks with Parallel Concatenations (GoogLeNet) |
|
2 | 92 | September 25, 2020 |
| Deep Convolutional Neural Networks (AlexNet) |
|
11 | 215 | September 25, 2020 |
| Data Manipulation |
|
5 | 283 | September 25, 2020 |
| Calculus |
|
10 | 284 | September 25, 2020 |
| Preface |
|
7 | 384 | September 25, 2020 |
| Batch Normalization |
|
7 | 114 | September 25, 2020 |
| Weight Decay |
|
25 | 247 | September 25, 2020 |
| Generative Adversarial Networks |
|
13 | 147 | September 25, 2020 |
| Install mxnet-cu102 |
|
2 | 15 | September 24, 2020 |
| Probability |
|
23 | 323 | September 24, 2020 |
| Using Jupyter |
|
3 | 130 | September 24, 2020 |
| Networks Using Blocks (VGG) |
|
4 | 87 | September 24, 2020 |
| Information Theory |
|
3 | 56 | September 24, 2020 |
| Natural Language Inference: Fine-Tuning BERT |
|
3 | 74 | September 23, 2020 |
| Beam Search |
|
3 | 68 | September 23, 2020 |
| Dropout |
|
27 | 335 | September 23, 2020 |
| Softmax Regression from Scratch |
|
19 | 324 | September 22, 2020 |
| Momentum |
|
2 | 88 | September 21, 2020 |
| Transformer |
|
4 | 31 | September 21, 2020 |
| Concise Linear Regression |
|
22 | 321 | September 20, 2020 |
| Auto Differentiation |
|
2 | 95 | September 20, 2020 |
| Encoder-Decoder Architecture |
|
2 | 72 | September 20, 2020 |
| Long Short Term Memory (LSTM) |
|
2 | 71 | September 20, 2020 |