Chapter 19: Learning with fewer labeled examples
Figures
| Figure No. | Notebook | Figure |
|---|---|---|
| 19.1 | image_augmentation_jax.ipynb | Figure_19.1.png |
| 19.2 | - | Figure_19.2.png |
| 19.3 | - | Figure_19.3_B.png Figure_19.3_A.png |
| 19.4 | - | Figure_19.4_A.png Figure_19.4_B.png |
| 19.5 | - | - |
| 19.6 | - | Figure_19.6_B.png Figure_19.6_A.png |
| 19.7 | - | Figure_19.7_A.png Figure_19.7_B.png |
| 19.8 | - | Figure_19.8_B.png Figure_19.8_A.png |
| 19.9 | - | Figure_19.9.png |
| 19.10 | - | Figure_19.10_A.png Figure_19.10_B.png |
| 19.11 | - | Figure_19.11.png |
| 19.12 | - | Figure_19.12.png |
| 19.13 | - | Figure_19.13.png |
| 19.14 | hbayes_maml.ipynb | Figure_19.14.png |
| 19.15 | - | Figure_19.15.png |
| 19.16 | - | Figure_19.16.png |
Supplementary material
| Title | Software | Link |
|---|---|---|
| Image augmentation | PyTorch | image_augmentation_torch.ipynb |
| Using a CNN that is pretrained on Imagenet | PyTorch | pre_trained_image_classifier_torch.ipynb |
| Fine-tuning a pre-trained CNN to make a hotdog detector (D2L 13.2) | PyTorch | finetune_cnn_torch.ipynb |