SEBO KIMgolang 10 minutes refresherThis document is 10 minutes refresher for golang. Let’s start!Jul 26, 20202Jul 26, 20202
SEBO KIMRealistic neural talking head models오늘 보게 될 페이퍼의 제목은 “Few-Shot Adversarial Learning of Realistic Neural Talking Head Models” (Egor Zakharov et al) 입니다.Dec 1, 2019Dec 1, 2019
SEBO KIMRediscovery of SSIM index in image reconstruction. SSIM as a loss function.Default loss function in encoder-decoder based image reconstruction had been L2 loss. Previously, Caffe only provides L2 loss as a…Nov 1, 2019Nov 1, 2019
SEBO KIMImage reconstruction 에서 SSIM index의 재조명Encoder-decoder 기반의 image reconstruction 에서 사용되는 가장 일반적인 loss는 L2 였다. 과거에 Caffe에서 제공되는 built-in loss는 오직 L2 밖에 없었다. 일반적으로 L2 loss를 사용하면…Nov 1, 2019Nov 1, 2019
SEBO KIM10 years VS 30 years data in predicting stock priceI will show some results of predicting stock price using 10 years and 30 years data of some stocks listed in KOSPI (Korea stock exchange).Oct 1, 2019Oct 1, 2019
SEBO KIMinBlockchain (stories written by sebkim)Ethereum Multisig wallet (by Gnosis)In this article, i will analyze ethereum multisig wallet by Gnosis. The simplest analogy for explaining multisig wallet is a safe deposit…Nov 22, 2018Nov 22, 2018