Research-Paper-Summary
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Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.
This repository aims to:
- Make a concise summary of deep learning research paper that I have read (including implementation if needed).
- Experiments on various topics.
If there is any problems regarding jupyter notebook loading on github, copy paste the link to jupyter notebook nbviewer.
Here is an overview of research paper classified by theme:
Experiments
Architectures
 |
 |
 |
|
|---|---|---|---|
| LeNet-5 | ✓ | ✓ | ✓ |
| AlexNet | ✓ | ||
| ZFNet/DeconvNet | ✓ | ||
| Inception-V1(GoogLeNet) | ✓ | ||
| Inception-V2/V3 | ✓ | ||
| VggNet | ✓ | ||
| ResNet | ✓ | ||
| MobileNetV1 | ✓ | ||
| MobileNetV2 | ✓ | ||
| EfficientNet | ✓ |
Self-supervised learning
- Unsupervised Visual Representation Learning by Context Prediction
- by U. Doersch, A. Gupta and AA. Efros at ICCV 2015.
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