structured_data |
Tensorflow Decision Forests 를 이용한 분류모델 만들기 |
DLD2022 이동훈_Classification with TensorFlow Decision Forests.pptx |
Classification with TensorFlow Decision Forests |
이동훈 |
structured_data |
Structured data learning with TabTransformer |
DLD2022 박성수_Structured data learning with TabTransformer.pdf |
Structured data learning with TabTransformer |
박성수 |
audio |
English speaker accent recognition using Transfer Learning |
- |
English speaker accent recognition using Transfer Learning |
소준섭 |
keras_recipes |
Keras Trainer pattern 세미나 |
DLD2022_허지완_Trainer pattern.pptx |
Trainer pattern |
허지완 |
KerasNLP |
사람이 하는 번역, 인공지능이 하는 번역 |
DLD2022_김영하_English-to-Spanish translation with KerasNLP.pdf |
English-to-Spanish translation with KerasNLP |
김영하 |
KerasTuner |
Visualize the hyperparameter tuning process |
DLD2022_박찬성_Visualize the hyperparameter tuning process.pdf |
Visualize the hyperparameter tuning process |
박찬성 |
KerasCV |
Advanced Augmentation Strategy in Keras |
DLD2022 김종석_CutMix, MixUp, and RandAugment image augmentation with KerasCV.pdf |
CutMix, MixUp, and RandAugment image augmentation with KerasCV |
김종석 |
KerasCV |
High-performance image generation using Stable Diffusion in KerasCV |
DLD2022.박찬성_High-performance image generation using Stable Diffusion in KerasCV.pdf |
High-performance image generation using Stable Diffusion in KerasCV |
박찬성 |
KerasCV |
Pascal VOC 2007로 알아보는 객체 감지 모델 기초 |
DLD2022_김영하_Train an Object Detection Model on Pascal VOC 2007 using KerasCV.pdf |
Train an Object Detection Model on Pascal VOC 2007 using KerasCV |
김영하 |
NLP |
Tensorflow Decision Forests 를 이용한 Text Classification |
- |
Text classification using Decision Forests and pretrained embeddings |
이동훈 |
NLP |
케라스 NLP를 활용한 GPT 텍스트 생성 도전하기 |
DLD2022_최태균_GPT text generation with KerasNLP.pdf |
GPT text generation with KerasNLP |
최태균 |
NLP |
Bert 보다 빠르다? FNet으로 Text Classification 해보기 |
DLD2022_김노은_Text Classification using FNet.pdf |
Text Classification using FNet |
김노은 |
NLP |
허깅페이스로 나만의 BERT Pretraining 해보기 |
[DLD 2022]_윤주성_Pretraining BERT with Hugging Face Transformers.pdf |
Pretraining BERT with Hugging Face Transformers |
윤주성 |
NLP |
허깅페이스로 나만의 요약 모델 만들기 |
[DLD 2022]_윤주성_Abstractive Summarization with Hugging Face Transformers.pdf |
Abstractive Summarization with Hugging Face Transformers |
윤주성 |
NLP |
Question Answering with Hugging Face Transformers |
DLD2022_배성수_Question Answering with Hugging Face Transformers.pdf |
Question Answering with Hugging Face Transformers |
배성수 |
vision |
EDSR Super-resolution 소개 및 Keras 코드 실습 |
DLD2022_김종희_Enhanced Deep Residual Networks for single-image super-resolution.pdf |
Enhanced Deep Residual Networks for single-image super-resolution |
김종희 |
vision |
이미지를 어떻게 표현할 수 있는가 |
DLD2022 임훈님_Investigating Vision Transformer representations.pdf |
Investigating Vision Transformer representations |
임훈 |
vision |
Augmenting Convolutional networks with attention-based aggregation |
DLD2022_고승희_Augmenting convnets with aggregated attention.pdf |
Augmenting convnets with aggregated attention |
고승희 |
vision |
정신차려 이 모델이 커지는 각박한 세상속에서 ViT knowledge distillation 해보기 |
DLD2022_박정현_Distilling Vision Transformers.pdf |
Distilling Vision Transformers |
박정현 |
vision |
Train a Vision Transformer on small datasets |
DLD 2022_박은수_Train a Vision Transformer on small datasets.pdf |
Train a Vision Transformer on small datasets |
박은수 |
vision |
눈으로 보자 Attention |
DLD2022 최현영_Class Attention Image Transformers with LayerScale.pdf |
Class Attention Image Transformers with LayerScale |
최현영 |
vision |
Attention mechanism이 없는 Vision Transformer를 상상해보셨나요? |
DLD2022_배성수_A Vision Transformer without Attention.pdf |
A Vision Transformer without Attention |
배성수 |
generative |
Denoising Diffusion Implicit Models |
DLD2022_박수철_Denoising Diffusion Implicit Models.pdf |
Denoising Diffusion Implicit Models |
박수철 |
generative |
요즘 핫한 생성모델 stable diffusion 찍먹해보기 |
DLD2022_김형섭_A walk through latent space with Stable Diffusion.pdf |
A walk through latent space with Stable Diffusion |
김형섭 |