
This is a copy of the **DeepNets-1M** dataset originally released at https://github.com/facebookresearch/ppuda under the MIT license.

The dataset presents diverse computational graphs (1M training and 1402 evaluation) of neural network architectures used in image classification.
See detailed description at https://paperswithcode.com/dataset/deepnets-1m and 
in the [Parameter Prediction for Unseen Deep Architectures](https://arxiv.org/abs/2110.13100) paper.


There are four files in this dataset:
- deepnets1m_eval.hdf5;    # 16 MB (md5: 1f5641329271583ad068f43e1521517e)
- deepnets1m_meta.tar.gz;  # 35 MB (md5: a42b6f513da6bbe493fc16a30d6d4e3e), run `tar -xf deepnets1m_meta.tar.gz` to unpack it before running any code reading the dataset
- deepnets1m_search.hdf5;  # 1.3 GB (md5: 0a93f4b4e3b729ea71eb383f78ea9b53)
- deepnets1m_train.hdf5;   # 10.3 GB (md5: 90bbe84bb1da0d76cdc06d5ff84fa23d)


<img src="https://production-media.paperswithcode.com/datasets/0dbd44d8-19d9-495d-918a-b0db80facaf3.png" alt="" width="600"/>

## Citation

If you use this dataset, please cite it as:

```
@inproceedings{knyazev2021parameter,
  title={Parameter Prediction for Unseen Deep Architectures},
  author={Knyazev, Boris and Drozdzal, Michal and Taylor, Graham W and Romero-Soriano, Adriana},
  booktitle={Advances in Neural Information Processing Systems},
  year={2021}  
}
```
task_categories:graph-ml task_categories:image-classification size_categories:1M<n<10M license:mit arxiv:2110.13100 region:us
{"license": "mit", "size_categories": ["1M<n<10M"], "task_categories": ["graph-ml", "image-classification"], "pretty_name": "DeepNets"}
TAGS
#task_categories-graph-ml #task_categories-image-classification #size_categories-1M<n<10M #license-mit #arxiv-2110.13100 #region-us 


This is a copy of the DeepNets-1M dataset originally released at URL under the MIT license.

The dataset presents diverse computational graphs (1M training and 1402 evaluation) of neural network architectures used in image classification.
See detailed description at URL and 
in the Parameter Prediction for Unseen Deep Architectures paper.


There are four files in this dataset:
- deepnets1m_eval.hdf5;    # 16 MB (md5: 1f5641329271583ad068f43e1521517e)
- deepnets1m_meta.URL;  # 35 MB (md5: a42b6f513da6bbe493fc16a30d6d4e3e), run 'tar -xf deepnets1m_meta.URL' to unpack it before running any code reading the dataset
- deepnets1m_search.hdf5;  # 1.3 GB (md5: 0a93f4b4e3b729ea71eb383f78ea9b53)
- deepnets1m_train.hdf5;   # 10.3 GB (md5: 90bbe84bb1da0d76cdc06d5ff84fa23d)


<img src="URL alt="" width="600"/>

If you use this dataset, please cite it as:


# 16 MB (md5: 1f5641329271583ad068f43e1521517e)
- deepnets1m_meta.URL;  # 35 MB (md5: a42b6f513da6bbe493fc16a30d6d4e3e), run 'tar -xf deepnets1m_meta.URL' to unpack it before running any code reading the dataset
- deepnets1m_search.hdf5;  # 1.3 GB (md5: 0a93f4b4e3b729ea71eb383f78ea9b53)
- deepnets1m_train.hdf5;   # 10.3 GB (md5: 90bbe84bb1da0d76cdc06d5ff84fa23d)


<img src="URL alt="" width="600"/>

If you use this dataset, please cite it as:
TAGS
#task_categories-graph-ml #task_categories-image-classification #size_categories-1M<n<10M #license-mit #arxiv-2110.13100 #region-us 
 # 16 MB (md5: 1f5641329271583ad068f43e1521517e)
- deepnets1m_meta.URL;  # 35 MB (md5: a42b6f513da6bbe493fc16a30d6d4e3e), run 'tar -xf deepnets1m_meta.URL' to unpack it before running any code reading the dataset
- deepnets1m_search.hdf5;  # 1.3 GB (md5: 0a93f4b4e3b729ea71eb383f78ea9b53)
- deepnets1m_train.hdf5;   # 10.3 GB (md5: 90bbe84bb1da0d76cdc06d5ff84fa23d)


<img src="URL alt="" width="600"/>

If you use this dataset, please cite it as: