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
      • RNN from scratch
      • 영어를 프랑스어로 번역 (단어 레벨 seq2seq 모델 - Tensorflow2)
      • 한국어를 영어로 번역 (단어 레벨 seq2seq 모델 - Tensorflow2)
2. Attention & Transformer
   1. Seq2Seq & Attention & Pointer Network
   2. Transformer
   3. Laboratory
      • Attention from scratch
      • Positional Embedding
      • Transformer-based KOR-ENG Translation

1. Autoencoder
   1. Laboratory
      • AE - Fashion MNIST
      • Stacked Denoising AE - Denosing Dirty Documents
      • VAE – Fashion MNIST
      • VAE – Face Images (CelebA)