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Folder: Deep-Learning

27 items under this folder.

Jun 26, 2025
perceptron
- #🌱️
Jun 26, 2025
backpropagation
- #📥
- #🔥
Jun 26, 2025
Multi-Layer Perceptron
- #🌱️
- #Base
Jun 26, 2025
AutoGen
Jun 26, 2025
@ DeepSpeed-MoE
Jun 26, 2025
@ BERT
- #📥/📜️
Jan 09, 2024
[Paper] Deformable DETR: Deformable Transformers for End-to-End Object Detection
Jan 02, 2024
[Paper] DETR: End-to-End Object Detection with Transformers
Nov 17, 2023
[Paper] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Nov 16, 2023
[Paper] Fast R-CNN
Nov 15, 2023
[Paper] SPPnet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Oct 01, 2023
[Paper] VGGNet: Very Deep Convolutional Networks for Large-Scale Image Recognition
Jul 12, 2023
[Paper] AlexNet: ImageNet Classification with Deep Convolutional Neural Networks (2012) Review
Jun 04, 2023
ML/DL Design Pattern
- #ML/DL
- #Design_Pattern
Dec 26, 2022
Cross Entropy(크로스 엔트로피)
- #Theory
- #Loss_Function
Dec 22, 2022
Logistic Regression (로지스틱 회귀)
- #Theory
- #Activation
Dec 21, 2022
Linear Regression (선형 회귀)
- #Theory
Dec 12, 2022
[Paper] LeNet-5: Gradient-Based Learning Applied to Document Recognition (1998) Review
Dec 10, 2022
Torch 연산 정리
Dec 08, 2022
Model.train(), Model.eval(), torch.no_grad()
Nov 12, 2022
Sequence 상속받아 Custom Dataset 만들기
Nov 01, 2022
CNN(Convolutional Neural Network)
- #Model
Nov 01, 2022
Global & Local Minima, Saddle Point
- #Optimizer
Oct 30, 2022
Optimizer
- #Optimizer
Oct 29, 2022
Activation Function(활성화 함수)
- #Theory
Oct 28, 2022
Gradient Descent
- #Optimizer
- #Theory
Oct 14, 2022
회귀모델 평가산식
- #Function
- #ML/DL

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