Deep Learning on Jungmook Kang

Deep Learning on Jungmook Kang https://mookjsi.github.io/tags/deep-learning/ Recent content in Deep Learning on Jungmook Kang Hugo -- 0.168.0 en Tue, 25 Nov 2025 00:00:00 +0000 Diffusion Models: From VAEs to DDPM Derivation https://mookjsi.github.io/posts/diffusion/ Tue, 25 Nov 2025 00:00:00 +0000 https://mookjsi.github.io/posts/diffusion/ A presentation I gave at a YBIGTA. Mathematical derivation of DGM Flamingo: a Visual Language Model for Few-Shot Learning https://mookjsi.github.io/posts/paper-review-flamingo/ Tue, 25 Nov 2025 00:00:00 +0000 https://mookjsi.github.io/posts/paper-review-flamingo/ YBIGTA DS Session 11/25 Presentation Generative Adversarial Nets (GAN) 논문 리뷰 https://mookjsi.github.io/posts/paper-review-gan/ Tue, 11 Nov 2025 00:00:00 +0000 https://mookjsi.github.io/posts/paper-review-gan/ YBIGTA DS Session 11/11 Presentation SimCLR 논문 리뷰 https://mookjsi.github.io/posts/paper-review-simclr/ Tue, 28 Oct 2025 00:00:00 +0000 https://mookjsi.github.io/posts/paper-review-simclr/ YBIGTA 10/28 DS Session Presentation Segment Anything 논문 리뷰 https://mookjsi.github.io/posts/paper-review-sam/ Tue, 30 Sep 2025 00:00:00 +0000 https://mookjsi.github.io/posts/paper-review-sam/ YBIGTA DS Session 09/10 Presentation DETR: End-to-End Object Detection with Transformers https://mookjsi.github.io/posts/paper-review-detr/ Tue, 23 Sep 2025 00:00:00 +0000 https://mookjsi.github.io/posts/paper-review-detr/ YBIGTA DS 09/23 Session Presentation ResNet - 더 깊은 신경망을 위한 잔차 학습 https://mookjsi.github.io/posts/paper-review-resnet/ Tue, 16 Sep 2025 00:00:00 +0000 https://mookjsi.github.io/posts/paper-review-resnet/ YBIGTA 09/16 DS Session Presentation Simplifying Neural Nets by Discovering Flat Minima https://mookjsi.github.io/posts/paper-review-flatminima/ Thu, 15 May 2025 00:00:00 +0000 https://mookjsi.github.io/posts/paper-review-flatminima/ 05/15 ITML Lab meeting Transformer: Attention부터 BERT까지 https://mookjsi.github.io/posts/transformer/ Tue, 01 Apr 2025 00:00:00 +0000 https://mookjsi.github.io/posts/transformer/ YBIGTA 04/01 DS Session Presentation. Attention, Transformer, and BERT step-by-step.