Roh Donghyun

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04. Introduction to DL

04. Introduction to DL

Jun 14, 20261 min read

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

17 items under this folder.

  • Sep 22, 2025

    15. Advanced Regularization

    • introduction-to-dl
  • Sep 22, 2025

    03. Architecture Design

    • introduction-to-dl
  • Sep 22, 2025

    09. Autoencoder

    • introduction-to-dl
  • Sep 22, 2025

    05. Backpropagation

    • introduction-to-dl
  • Sep 22, 2025

    16. Batch and Layer Normalizations

    • introduction-to-dl
  • Sep 22, 2025

    06. Convolutional Neural Network

    • introduction-to-dl
  • Sep 22, 2025

    04. FeedForward Neural Networks

    • introduction-to-dl
  • Sep 22, 2025

    13. Generative Adversarial Network

    • introduction-to-dl
  • Sep 22, 2025

    14. Hyperparameters in Deep Learning

    • introduction-to-dl
  • Sep 22, 2025

    01. Introduction to Deep Learning

    • introduction-to-dl
  • Sep 22, 2025

    08. LSTM and GRU

    • introduction-to-dl
  • Sep 22, 2025

    02. Mathematics for Deep Learning

    • introduction-to-dl
  • Sep 22, 2025

    07. Recurrent Neural Network

    • introduction-to-dl
  • Sep 22, 2025

    10. Sequence-to-Sequence and Attention

    • introduction-to-dl
  • Sep 22, 2025

    17. Transfer Learning

    • introduction-to-dl
  • Sep 22, 2025

    11. Transformer and Self-attention

    • introduction-to-dl
  • Sep 22, 2025

    12. Variational Autoencoders

    • introduction-to-dl

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