Sung Yub Kim

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6 SlideShares 38 Followers 62 Followings

6 SlideShares 38 Followers 62 Followings

machine learning deep learning reinforcemen learning

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Data Mining with R CH1 요약

8 years ago • 1339 Views

Linear models for classification

7 years ago • 2571 Views

Statistics for deep learning

7 years ago • 266 Views

Machine learning for deep learning

7 years ago • 320 Views

Probability distributions for ml

7 years ago • 462 Views

MM framework for RL

6 years ago • 1042 Views

Connection between Bellman equation and Markov Decision Processes

Sungjoon Choi • 7 years ago

[한국어] Safe Multi-Agent Reinforcement Learning for Autonomous Driving

Kiho Suh • 6 years ago

Backpropagation in Convolutional Neural Network

Hiroshi Kuwajima • 10 years ago

Deep generative model.pdf

Hyungjoo Cho • 6 years ago

Attention mechanisms with tensorflow

Keon Kim • 7 years ago

Normalization 방법

홍배 김 • 7 years ago

Kernel, RKHS, and Gaussian Processes

Sungjoon Choi • 7 years ago

Understanding deep learning requires rethinking generalization (2017) 1/2

정훈 서 • 7 years ago

Understanding deep learning requires rethinking generalization (2017) 2 2(2)

정훈 서 • 7 years ago

Visualizing data using t-SNE

홍배 김 • 7 years ago

Generative adversarial networks

남주 김 • 7 years ago

Layer Normalization@NIPS+読み会・関西

Keigo Nishida • 7 years ago

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

홍배 김 • 7 years ago

2017 tensor flow dev summit

Tae Young Lee • 7 years ago

Continuous control with deep reinforcement learning (DDPG)

Taehoon Kim • 7 years ago

텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016

Taehoon Kim • 7 years ago

지적 대화를 위한 깊고 넓은 딥러닝 PyCon APAC 2016

Taehoon Kim • 7 years ago

Meta-Learning with Memory Augmented Neural Networks

홍배 김 • 7 years ago

Generalization of Tensor Factorization and Applications

Kohei Hayashi • 11 years ago

머피의 머신러닝 : Gaussian Processes

Jungkyu Lee • 10 years ago

machine learning deep learning reinforcemen learning

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