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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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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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## 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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### 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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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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Hello, how to produce the data set in the code
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CT image
Imagenet
vgg16
weights
svm
soft max
knn
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Deep learning convolutional neural networks seem like the next generation for object detection. The accuracy is significantly better, and it is not tied to particular aspect ratio. This would work v…
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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 …
zmaas updated
2 weeks ago