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conv_example's Introduction

Conv_example

Convolution Neural Network

Forward

and

BackWard 구현 ( Using MatMul Calcul)

구현 내용

  • 2D Convolution Layer
  • 2D Maxpool
  • Global Average Pool
  • ReLU
  • Fully Connected Layer

our_results.txt => 구현한 Convolutional Layer로 학습을 수행했을 때의 결과

tensor_results.txt => 구현한 Convolutional Layer와 동일한 Architecture로 Pytorch로 구현했을 때의 결과

Problem

- im2col 후 MatMul연산을 수행하는데, Pytorch CPU 버전과 비교했을 때 속도 차이가 심각하게 많이 나고 있는 상황이다.

- 속도를 빠르게 할 수 있는 방법에 대해 고민할 필요성이 존재함

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