Research Areas
  1. Graph Neural Networks
    1. Basic Graph Theory
    2. Node Embedding
    3. Neighbor Aggregation and GCNs
  2. Graph Neural Networks: Laboratory
    1. Data Handling and GCN Learning of Graph with PyTorch Geometric

  1. Recurrent Neural Networks
    1. Laboratory
      1. RNN from scratch
      2. 영어를 프랑스어로 번역 (단어 레벨 seq2seq 모델 - Tensorflow2)
      3. 한국어를 영어로 번역 (단어 레벨 seq2seq 모델 - Tensorflow2)
  2. Attention & Transformer
    1. Attention & Transformer 설명
    2. Laboratory
      1. Attention from scratch
      2. Positional Embedding
      3. Transformer-based KOR-ENG Translation
  1. Autoencoder
    1. Laboratory
      1. AE - Fashion MNIST
      2. Stacked Denoising AE - Denosing Dirty Documents
      3. VAE – Fashion MNIST
      4. VAE – Face Images (CelebA)


Laboratory Partners