Seungkyun Hong

PhD Student in CS/ML

[서대문구청 @sdmtong]

💟이주의 서대문 소식💟
3월 9일(월)~3월 15일(일)

✅강북횡단선 재추진 주민동의서 청구 안내
✅시니어 찾아가는 수리전문가(칼갈이, 우산수리) 3월 일정
✅2026 봄맞이 주민자율청소
✅️2026 서대문구장애인체육회 생활체육 프로그램
✅️서대문 댕프렌즈 대원 모집!
✅️호박골마을공방 3월

[서대문구청 @sdmtong]

2025 구민과 함께하는 이화여자대학교 신년음악회로 여러분을 초대합니다~
자세한 내용은 서대문구청 블로그에서 확인하세요!
https://t.co/LsHiyhAcCH

[서대문구청 @sdmtong]

서대문오케스트라 함신익과 심포니송의 청소년 음악회 사전신청!
자세한 내용은 서대문구청 블로그에서 확인하세요!
https://t.co/FYWDXGqtNV

[MONTREAL.AI @Montreal_AI]

Logic Tensor Networks

Badreddine et al.: https://t.co/qmHisBI0Te

With explanatory examples using @TensorFlow 2

H / T : @AvilaGarcez

#NeurosymbolicAI #DeepLearning #Reasoning

[Seungkyun Hong @ontheklaud]

@TwitchSupport

뜨4 릴카 관련 갑질에 대해서 트위치 코리아는 여전히 요지부동하네요? https://t.co/erhGlRoCOd Still no answer about unauthorized & illegal streamer ban of
@TwitchKR
, highly disappointed with
@Twitch #트위치_코리아_영구정지_사태

[akimoto @akmtn_twi]

The next stage of "Fashion/Human image synthesis" with GANs?
Higher-res datasets are needed.

ファッション画像の生成
ポーズ条件を使わないで、ノイズから生成できてしまった笑
ポージングが滑らかに変化する瞬間が👍
#GAN #fashion

[Seungkyun Hong @ontheklaud]

@nvidia Obviously! Option C: The new apex predator. TITAN RTX. #TITANRTX #tag4trex

[Seungkyun Hong @ontheklaud]

#reddit My son, who has autism, did this in art class. Thought it might be appreciated. https://t.co/JUpnKvqZVp

[François Chollet @fchollet]

You can start training Keras models on TPUs, from the comfort of your browser, in a few seconds. Try it: https://t.co/G95rxp7U7P

I expect that most industry-scale deep learning workflows will move from GPUs to TPUs over the next couple of years.

[Colaboratory @GoogleColab]

New TPU example: Fashion MNIST in Colab: https://t.co/8KHQSzDELb

[Google AI @GoogleAI]

Introducing the MLCC Fairness in #MachineLearning module (https://t.co/4bmGAwBKK0), which looks at different types of human biases that can manifest in training data, and provides strategies to identify them and evaluate their effects. Learn more at: https://t.co/GGgyUgQb3B

[NVIDIA Korea @NVIDIAKorea]

The arrival. 🙌 #GraphicsReinvented

[Google AI @GoogleAI]

Today, we are launching the What-If Tool, a new feature of the open-source TensorBoard web application, which let users analyze and better understand an ML model without writing code. We look forward to people using, and contributing to, the What-If Tool. https://t.co/s5ivnQH87q

[Seungkyun Hong @ontheklaud]

Seriously, the easiest way to get a ticket is just become a speaker😂

[NeurIPS Conference @NeurIPSConf]

#NIPS2018 The main conference sold out in 11 minutes 38 seconds

[Rafa Bauer @rafabauer]

We found love in a hopeless place

[Denny Britz @dennybritz]

I wonder how @OpenAI came up with their model architecture for Dota 2. Did they use some kind of surrogate supervised task to optimize the architecture? Or was is it common sense + domain knowledge of how to best represent the features? @jackclarkSF @gdb ?

[Google AI @GoogleAI]

We’re excited to announce the public alpha of Cirq, an open source framework for developing algorithms on noisy intermediate scale quantum (NISQ) computers. Check out the GitHub repository — pull requests welcome! #Cirq #quantumcomputing https://t.co/GGbRngQiam

[AMD @AMD]

Do you have a passion for products that fuel the way you work, play and create? Apply to join the brand new #AMDRedTeam: https://t.co/ZfSl8v87Sh

[Andrej Karpathy @karpathy]

most common neural net mistakes: 1) you didn't try to overfit a single batch first. 2) you forgot to toggle train/eval mode for the net. 3) you forgot to .zero_grad() (in pytorch) before .backward(). 4) you passed softmaxed outputs to a loss that expects raw logits. ; others? :)