This project aims to provide simple implementations of most of the state of the art DNNs, SSD-DNNs, GANs, RNNs, etc.
The networks are stored in networks and have been trained with well know
datasets such as ImageNet, Cifar 10, mnist, fashion-mnist, COCO, VOC, etc.
The following table with links to the notebooks will be extend as more models and datasets are added.
| Model | Notebook | Dataset Used | TF Version | Validation Accuracy | Training Time |
|---|---|---|---|---|---|
This information was extracted from:
https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb
Colab can load public github notebooks directly, with no required authorization step.
For example, consider the notebook at this address: https://github.com/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb.
The direct colab link to this notebook is: https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb.
To generate such links in one click, you can use the Open in Colab Chrome extension.