Jeongmin Cha

14 Abonné

programming machine learning engineering science computer deep learning presentation system design software java javascript python portfolio resume software development latent model latent space causal inference generative model kaist computer science computing inference graphical model neural network vae additive nonparametric statistics model linear sparsity development apple app apple watch swift smart watch ios university hanyang networking embedded microprocessor service maestro network social sns

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Jeongmin Cha

Présentations

최종발표

마이크로프로세서 응용(2013-2)

시스템 프로그램 설계1 최종발표

시스템 프로그램 설계 2 최종발표 (차정민, 조경재)

Waterful Application (iOS + AppleWatch)

Sparse Additive Models (SPAM)

Composing graphical models with neural networks for structured representations and fast inference

Causal Effect Inference with Deep Latent-Variable Models

차정민 (소프트웨어 엔지니어) 이력서 + 경력기술서

J’aime

Composing graphical models with neural networks for structured representations and fast inference

십분딥러닝_9_VAE(Variational Autoencoder)

RLCode와 A3C 쉽고 깊게 이해하기

Waterful Application (iOS + AppleWatch)

데이터는 차트가 아니라 돈이 되어야 한다.

PYCON KR 2017 - 구름이 하늘의 일이라면 (윤상웅)

머피의 머신러닝 : Gaussian Processes

TensorFlow Tutorial

AngularJS 2, version 1 and ReactJS

객체지향 철학 그리고 5대 개념