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I want to reproduce some results. I cannot find the implementation of the RDIA for the deep learning based models like LeNet, CNN?
Any thougths pls ? Is the code missing ?
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## Overview
This project aims to predict loan defaults using deep learning techniques. The system utilizes Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), and Recurrent Neural Ne…
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Investigate potential applications for deep learning and CNN. Other applications have shown positive results.
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### Going Deeper with Convolutions : [링크](https://arxiv.org/abs/1409.4842)
* 특징
* 2014년 vgg 와 함께 등장
* cnn은 depth가 깊어지고 넓어질수록 overfiting 문제가 빠질 가능성이 높다. 그동안 hyper-paramenter와 초기값 설정을 통해 극복. 하…
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### CNN 그림으로 한눈에 보기 예
* http://cs231n.github.io/assets/conv-demo/index.html
* ![image](https://cloud.githubusercontent.com/assets/6295576/23692511/995cefde-0412-11e7-8b46-282ed83f21fc.png)
…
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#### Software execution information
MLE-agent version: 0.3.1
System OS version: ubuntu 20.04.6
#### Problem description
in my scene, i use ollama with llama3.1-8b model. Following the exa…
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Hello, how to produce the data set in the code
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1.Deap learning 기반 COF 이미지 검사시스템
- 학위 논문으로 연락처나 email이 안 남아 있음
2.YOLO 개선을 통한 PCB 불량 검출 시스템 설계 및 구현
- lynnshin.tistory.com/47 // YOLO는 객체 위치와 클래스를 감지하는 모델이라 적합하지 않음
- 오히려 Resnet, DenseNet이 효율적인 이미…
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CT image
Imagenet
vgg16
weights
svm
soft max
knn
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …