---
library_name: lucid
license: bsd-3-clause
tags:
  - image-classification
  - alexnet
  - lucid
datasets:
  - imagenet-1k
pipeline_tag: image-classification
model-index:
  - name: alexnet-cls
    results:
      - task: { type: image-classification }
        dataset: { name: ImageNet-1K, type: imagenet-1k }
        metrics:
          - { type: acc@1, value: 56.522 }
          - { type: acc@5, value: 79.066 }
---

# AlexNet

> Krizhevsky et al., 2012 — *ImageNet Classification with Deep Convolutional Neural Networks* (NIPS); single-stream channel widths from Krizhevsky 2014 (arXiv:1404.5997).

[Lucid](https://github.com/ChanLumerico/lucid) port of `torchvision/AlexNet_Weights.IMAGENET1K_V1`,
converted to Lucid-native safetensors.

## Available weights

| Tag | acc@1 | acc@5 | Params | GFLOPs | Size | Source |
|---|---|---|---|---|---|---|
| `IMAGENET1K_V1` *(default)* | 56.522 | 79.066 | 61.1M | 0.714 | 233.08 MB | torchvision |

## Usage

```python
import lucid.models as models
from lucid.models.weights import AlexNetWeights

# default tag
model = models.alexnet_cls(pretrained=True)

# explicit tag (enum or string)
model = models.alexnet_cls(weights=AlexNetWeights.IMAGENET1K_V1)
model = models.alexnet_cls(pretrained="IMAGENET1K_V1")

# preprocessing travels with the weights
weights = AlexNetWeights.IMAGENET1K_V1
preprocess = weights.transforms()
logits = model(preprocess(image)[None]).logits
```

## Conversion

Converted from `torchvision/AlexNet_Weights.IMAGENET1K_V1` via
`python -m tools.convert_weights alexnet_cls --tag IMAGENET1K_V1`.
Key mapping + numerical parity verified against the source.

## License

`bsd-3-clause` — inherited from the original weights.

## Citation

```
@inproceedings{krizhevsky2012imagenet,
  title={ImageNet Classification with Deep Convolutional Neural Networks},
  author={Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E.},
  booktitle={NIPS}, year={2012}
}
@article{krizhevsky2014oneweirdtrick,
  title={One weird trick for parallelizing convolutional neural networks},
  author={Krizhevsky, Alex},
  journal={arXiv preprint arXiv:1404.5997}, year={2014}
}
```