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README.md

@@ -9,7 +9,7 @@ Code and documentation for research and development project with a topic in Deep
 - Knowledge Distillation methods : 
 	- Cloned from https://github.com/peterliht/knowledge-distillation-pytorch with minor modifications. Based on the implementation of the paper [Distilling the Knowledge in a Neural Network](https://arxiv.org/pdf/1503.02531.pdf)
 	- FitNets implementation. Cloned from https://github.com/AberHu/Knowledge-Distillation-Zoo with modifications. Based on the implementation of the paper [FitNets: Hints for Thin Deep Nets](https://arxiv.org/pdf/1412.6550.pdf)
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 - Low Rank Approximations [Caffe: Convolutional Architecture for Fast Feature Embedding](https://arxiv.org/abs/1408.5093)
 - Quantizations (https://github.com/eladhoffer/convNet.pytorch/blob/master/models/modules/quantize.py)
 - Report of research and development project
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