Abstract: In this study, we propose a novel architecture, the Quantum Pointwise Convolution, which incorporates pointwise convolution within a quantum neural network framework. Our approach leverages ...
Abstract: In this paper, we have proposed a method to measure the weight efficiency of pointwise convolution (weight sharing index), which finds that the weight efficiency of pointwise convolution ...
In this section, I'd like to discuss potential issues with deep networks, specifically vanishing gradients. I will also be mentioning the possible solutions for this, residual connections and batch ...
- ディープラーニングモデルは精度は良いが、その分ネットワークが 深くなり計算量が増える。 - 計算量が増えると、多くの計算リソースが必要で、お金がかかって しまう。 - ディープラーニングモデルの軽量化・高速化・高精度化を実現 実行環境を ...
This repository contains an implementation of the LeNet-5 neural network, originally proposed in the paper "Gradient-based learning applied to document recognition" by Yann LeCun et al. We have ...
Figure 2. The Cartesian product MAC array for maximizing arithmetic intensity of pointwise convolution (IMAGE) Tokyo Institute of Technology ...
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