# Knowledge Distillation

## Introduction

* SDS에서 작성한 Knowledge Distilation 소개글

{% embed url="<https://post.naver.com/viewer/postView.nhn?volumeNo=20748771&memberNo=36733075>" %}

필요없는 가중치를 제거하는 기법인 Network pruning과 Knowledge Distilation의 기본 개념, 그리고 Teacher-Student Network까지 잘 정리되어 있습니다.

* Awesome Knowledge Distilation - Github

{% embed url="<https://github.com/dkozlov/awesome-knowledge-distillation>" %}

* Tensorflow KR에서 찾을 글 - Github

{% embed url="<https://github.com/sseung0703/KD_methods_with_TF?fbclid=IwAR1ECC_6jOTtOtdoh-AtMdJfJbhCwJU6HTFkz4YkbxTov6KRdD4i1RvmpUQ>" %}

관련 연구분야 논문이 잘 정리되어 있습니다.

## Sota 스러워 보이는 글

{% embed url="<https://clova-ai.blog/2019/08/22/a-comprehensive-overhaul-of-feature-distillation-iccv-2019/?fbclid=IwAR02nkTv4HmWezlGidwYNW3IF0okH126bIH95M5wBl3JgX6Z5vWVZE5Ooy4>" %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://tobigs.gitbook.io/knowledge-distilation/master.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.