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ML하는 개발자
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시리즈
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전체보기
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DeepLearning
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Light Weight Model
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CNN Network
(6)
Classification
(6)
Perception
(6)
Model Compression
(4)
CNN Networks
(4)
pruning
(3)
Depthwise Separable Convolution
(3)
quantization
(3)
C
(2)
Resnet
(2)
navigation
(2)
Localization
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자료구조
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ObjectDetection
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Mobilenet
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GoogleNet
(1)
Deep compression
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QZSS
(1)
Xception
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rtk
(1)
Inverted Residual Block
(1)
AlexNet
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VGGNet
(1)
Pre-Activation
(1)
Markdown
(1)
Faster R-CNN
(1)
Galileo
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gps
(1)
Huffman coding
(1)
LeNet-5
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SPP-net
(1)
IRNSS
(1)
Object Detection
(1)
VRS
(1)
R-CNN
(1)
GNSS
(1)
linked list
(1)
stack
(1)
SqueezeNet
(1)
MobileNet V2
(1)
Fast R-CNN
(1)
Beidou
(1)
GLONASS
(1)
전체보기
(22)
DeepLearning
(17)
Light Weight Model
(8)
CNN Network
(6)
Classification
(6)
Perception
(6)
Model Compression
(4)
CNN Networks
(4)
pruning
(3)
Depthwise Separable Convolution
(3)
quantization
(3)
C
(2)
Resnet
(2)
navigation
(2)
Localization
(2)
자료구조
(2)
ObjectDetection
(2)
Mobilenet
(2)
GoogleNet
(1)
Deep compression
(1)
QZSS
(1)
Xception
(1)
rtk
(1)
Inverted Residual Block
(1)
AlexNet
(1)
VGGNet
(1)
Pre-Activation
(1)
Markdown
(1)
Faster R-CNN
(1)
Galileo
(1)
gps
(1)
Huffman coding
(1)
LeNet-5
(1)
SPP-net
(1)
IRNSS
(1)
Object Detection
(1)
VRS
(1)
R-CNN
(1)
GNSS
(1)
linked list
(1)
stack
(1)
SqueezeNet
(1)
MobileNet V2
(1)
Fast R-CNN
(1)
Beidou
(1)
GLONASS
(1)
[CNN Networks] 13. MobileNet v2
MobileNet V2 논문에 대한 리뷰입니다.
CNN Networks
DeepLearning
Depthwise Separable Convolution
Inverted Residual Block
Light Weight Model
MobileNet V2
2022년 2월 12일
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