# 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

{"license": "apache-2.0", "tags": ["image-classification"]}
keras image-classification arxiv:2110.00476 arxiv:1512.03385 license:apache-2.0 region:us
TAGS
#keras #image-classification #arxiv-2110.00476 #arxiv-1512.03385 #license-apache-2.0 #region-us 

# 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: URL
  - Deep Residual Learning for Image Recognition: URL

# 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: URL
  - Deep Residual Learning for Image Recognition: URL
TAGS
#keras #image-classification #arxiv-2110.00476 #arxiv-1512.03385 #license-apache-2.0 #region-us 
 # 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: URL
  - Deep Residual Learning for Image Recognition: URL