so coord

Toggle menu

Models

Autoencoder 기초(4/5) 2022.03.08 DL autoencoder

Autoencoder 기초(2/5) 2022.03.04 DL autoencoder

Autoencoder 기초(1/5) 2022.03.01 DL autoencoder

Weight anb Bias 시작 Code sample 2021.11.27 DL monitoring wandb

Segmentation Model(HRNet) 소개 2021.10.27 DL Segmentation

WSSS(Weakly Supervised Semantic Segmentation) 소개 2021.10.27 DL WSSS

Validation Set 만들기 2021.10.22 DL Validationset

Segmentation Model(Unet,Unet++,Unet3+) 소개 2021.10.21 DL Segmentation

Segmentation Model(Deconv,SegNet,Unet,DeepLabV1,DilatedNet) 소개 2021.10.20 DL Segmentation

FCN model - transpose convolution 2021.10.18 DL Segmentation

Neck(2 stage detection model) 구조 설명 2021.09.30 DL Object Detection

Conditional Generative Model 2021.09.15 DL GAN Generative model

Object Detection Model 소개 2021.09.10 DL Object Detection

Image Data Augmentation_(cv2,PIL) 2021.09.07 DL augmentation

Multi GPU 2021.08.20 DL Multi GPU PyTorch

Pre-trained model 사용하기 2021.08.19 DL pretrained

GoogLeNet model Introduction 2021.08.19 DL googlenet

transformer 소개 2021.08.12 DL transformer

시계열 Model 소개(Naive, RNN, LSTM, GRU) 2021.08.12

CNN Model 소개(AlexNet, VGG, GoogleNet, ResNet, DenseNet) 2021.08.11 DL CNN model

CV(Computer Vision) model 소개(FCN, Deconv, R-CNN, YOLO) 2021.08.11 DL CV model

AAE(Adversarial AutoEncoder) model 소개 2021.08.10 DL AAE DL

Optimization 란? 2021.08.10

MLP(Multi-Layer Perceptron) 개념 2021.08.10

Deep Learning이란? 2021.08.09

순환 신경망(RNN, recurrent Neural Network) 설명 2021.08.05

합성곱 신경망(CNN, Convolution Neural Network) 2021.08.04

신경망(Neural Network) 개념 2021.08.03 DL Neural Network

경사하강법 순한맛(gradient descent) 2021.08.02 DL gradient descent

경사하강법 매운맛(gradient descent) 2021.08.02 DL gradient descent

경사하강법을 이용한 선형회귀식 유도 2021.08.01 DL gradient descent