[논문 리뷰] Fully Convolutional Networks for Semantic Segmentation (FCN)
[CVPR, 2015] Fully Convolutional Networks for Semantic Segmentation (FCN) 논문 리뷰
Deep Learning
Deep Learning Page
[논문 리뷰] You Only Look Once: Unified, Real-Time Object Detection (YOLO)
[CVPR, 2016] You Only Look Once: Unified, Real-Time Object Detection (YOLO) 논문 리뷰
[논문 리뷰] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
[NIPS, 2015] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 논문 리뷰
[논문 리뷰] Rich feature hierarchies for accurate object detection and semantic segmentation(R-CNN)
[CVPR, 2014] Rich feature hierarchies for accurate object detection and semantic segmentation 논문 리뷰
[논문 리뷰] KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds 리뷰
[논문 리뷰] Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
Dynamic Graph CNN for Learning on Point Clouds 리뷰(DGCNN)
[논문 리뷰] PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 리뷰
[논문 리뷰] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 리뷰
Lec 10-5: Advanced CNN - VGG
Deep_Learning study Lec10-5
Lec 10-5: Advanced CNN
Deep_Learning study Lec10-5
Lec 10-4: Custom Dataset - ImageFolder
Deep_Learning study Lec10-4
Lec 10-3: Visdom
Deep_Learning study Lec10-3
Lec 10-2: Mnist CNN
Deep_Learning study Lec10-2
Lec 10-1: Convolution
Deep_Learning study Lec10-1
Lec 09-4: Batch Normalization
Deep_Learning study Lec09-4
Lec 09-3: Dropout
Deep_Learning study Lec09-3
Lec 09-2: Weight Initialization[Include Pytorch Code]
Deep_Learning study Lec09-2
Lec 09: ReLU
Deep_Learning study Lec09-1
Lec 07: MNIST
MNIST Introduction Lec07 & Lec09-1
Lec 08: Perceptron & BackPropagation
Deep_Learning study Lec08
Lec 06: Softmax Regression
Deep_Learning study Lec06
Lec 05: Logistic Regression/Classification
Deep_Learning study Lec05
Lec 04-2: Loading Data
Deep_Learning study Lec04-2 (Pytorch)
Lec 04: Multi-variable Linear Regression
Deep_Learning study Lec04 (TensorFlow)
Lec 03: Linear Regression and How to minimize cost
Deep_Learning study Lec03 (TensorFlow)
Lec 03: Deeper Look at GD
Deep_Learning study Lec03 (Pytorch)
Lec 02: Linear Regression
Deep_Learning study Lec02 (Pytorch, TensorFlow)
Lec 01: 기본적인 Machine Learning 의 용어와 개념 설명
Deep_Learning study Lec01 (TensorFlow)