| tags: | |
| - image-classification | |
| license: apache-2.0 | |
| # Model card for resnet18 | |
| A ResNet-B image classification model. | |
| This model features: | |
| * ReLU activations | |
| * Single layer 7x7 convolution with pooling | |
| * 1x1 convolution shortcut downsample | |
| Trained on ImageNet-1k in `timm` using recipe template described below. | |
| Recipe details: | |
| * ResNet Strikes Back `A1` recipe | |
| * LAMB optimizer with BCE loss | |
| * Cosine LR schedule with warmup | |
| ## Model Details | |
| - **Model Type:** Image classification / feature backbone | |
| - **Model Stats:** | |
| - Params (M): 11.7 | |
| - GMACs: 1.8 | |
| - Activations (M): 2.5 | |
| - Image size: train = 224 x 224, test = 288 x 288 | |
| - **Papers:** | |
| - ResNet strikes back: An improved training procedure in timm: https://arxiv.org/abs/2110.00476 | |
| - Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385 | |