Deep_learning
Deep Learning
README
References
Fundemental
README
Backpropagation
ActivationFuction
Loss_Cost_Error_함수
Optimization_최적화
How-to-Design
README
INTRO
A practical theory for designing very deep convolutional neural networks
DEEP CONVOLUTIONAL NEURALNETWORK DESIGN PATTERNS
Rethinking the Inception Architecture for Computer Vision
An Analysis of Deep Neural Network Models for Practical Applications
How-to-Enhancement
README
INTRO
전처리
Normalization
Overfitting
Batch normalization
Hyper Parameter
Learning Rate
Debugging_Training
경량화 (Model compression)
README
INTRO
Transfer Learning
README
2009-A Survey on Transfer Learning (0%)
Online Learning
README
능동 학습
연합 학습
Catastrophic Forgetting
2017-Lifelong Learning with Dynamically Expandable Networks (30%)
2017-PathNet: Evolution Channels Gradient Descent in Super Neural Networks
2017-Measuring Catastrophic Forgetting in Neural Networks (80%)
2017-Overcoming catastrophic forgetting in neural networks
2017-Continual Learning with Deep Generative Replay
2018-Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks (30%)
2018-A study on sequential iterative learning for overcoming catastrophic forgetting phenomenon of artificial neural network (100%)
2018-End-to-End Incremental Learning
2019-Continual Lifelong Learning with Neural Networks: A Review (10%)
(외부링크) lifelongml
Auto ML
README
INTRO
Neural Architecture Search for Object Detection in Point Cloud
2016-Neural Architecture Search with Reinforcement Learning
2018-Learning Transferable Architectures for Scalable Image Recognition
트리기반 파이프라인 최적화 툴
Multi-Task Learning
README
INTRO
Bayesian Learning
README
INTRO
2017-Deep-Learning-Is-Not-Good-Enough
Auto Encoder
README
INTRO
RBM-DBNetwork
Reinforce Learning
README
INTRO
CNN
README
INTRO
Capsule Network
README
INTRO
RNN
README
INTRO
GAN
README
INTRO
gan1.py
gan2.py
gan3.py
GAN-sim-gan
Relational Reasoning
README
INTRO
pyTorch
README
Tutorial-Fundamental
Tutorial-Regression
Tutorial-CNN
Tutorial-RESNET
Tutorial-YOLO2
Tips
Snippets
Dataloader
Tools
References
Tensorflow
README
Tutorial-Fundamental
Tutorial-Regression
Tutorial-CNN
KerasAPI
TF2
Tutorial-1x-CNN
Tips
Snippets
Dataloader
Tools
Tensorflow Object Detection API
Tensorboard
CloudML
References
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GitBook
2018-Learning Transferable Architectures for Scalable Image Recognition
“Learning Transferable Architectures for Scalable Image Recognition
AutoML을 이용한 Architecture Search 소개 및 NASNet 논문 리뷰
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