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04. Deep Learning

04. Deep Learning

Jul 28, 20261 min read

딥러닝 입문: FFN·역전파·CNN·RNN부터 Transformer, 생성모델, 정규화까지.

18 items under this folder.

  • Jun 22, 2026

    18. Graph Neural Network

    • deep-learning
  • Sep 22, 2025

    01. Introduction to Deep Learning

    • deep-learning
  • Sep 22, 2025

    02. Mathematics for Deep Learning

    • deep-learning
  • Sep 22, 2025

    03. Architecture Design

    • deep-learning
  • Sep 22, 2025

    04. FeedForward Neural Networks

    • deep-learning
  • Sep 22, 2025

    05. Backpropagation

    • deep-learning
  • Sep 22, 2025

    06. Convolutional Neural Network

    • deep-learning
  • Sep 22, 2025

    07. Recurrent Neural Network

    • deep-learning
  • Sep 22, 2025

    08. LSTM and GRU

    • deep-learning
  • Sep 22, 2025

    09. Autoencoder

    • deep-learning
  • Sep 22, 2025

    10. Sequence-to-Sequence and Attention

    • deep-learning
  • Sep 22, 2025

    11. Transformer and Self-attention

    • deep-learning
  • Sep 22, 2025

    12. Variational Autoencoders

    • deep-learning
  • Sep 22, 2025

    13. Generative Adversarial Network

    • deep-learning
  • Sep 22, 2025

    14. Hyperparameters in Deep Learning

    • deep-learning
  • Sep 22, 2025

    15. Advanced Regularization

    • deep-learning
  • Sep 22, 2025

    16. Batch and Layer Normalizations

    • deep-learning
  • Sep 22, 2025

    17. Transfer Learning

    • deep-learning

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