各周教材

  • 人工智慧與神經網路簡介[ pptx ]

  • 神經網路線上模擬工具 [ url ]

  • Google Colab - 在雲端的人工智慧開發環境 [colab.to/r ]

  • 手寫字體辨識 - 最簡單的神經網路應用 [ colab ]

  • 參考書： Chollet, F. & Allaire, J. (2018). Deep learning with R. Manning Pub.

案例一 (2021/10/26 by 姚枝磊) for 10/26 [ colab ]

  • Deep Learning with R

    • 3.1 Anatomy of a neural network

    • 3.4 Classifying movie reviews: a binary classification example

案例二 (2021/11/2 by 林幸佳&蔡沛靜) for 11/2 [ colab ]

  • Deep Learning with R

    • 3.5 Classifying newswires: a multiclass classification example

    • 4.4 Overfitting and underfitting

案例三 (2021/11/9 by 魏翊倫&黃煜珩) for 11/9 [ colab ]

  • Deep Learning with R

    • 3.6 Predicting house prices: a regression example

    • 4.5 The universal workflow of machine learning

Transfer Learning (2021/11/23 by 張家銘) for 11/23、12/7 [ colab ]

  • Deep Learning with R

    • 5.1 Introduction to convnets

    • 5.2 Training a convnet from scratch on a small dataset

  • CNN Introduction [google drive]

Pretrained Model (2021/11/23 by 張家銘) for 12/14 [ colab ]

  • Deep Learning with R

    • 5.1 Introduction to convnets

    • 5.2 Training a convnet from scratch on a small dataset

  • CNN Introduction [google drive]

DL for text and sequence (2021/12/28 by 張家銘) for 12/28 [ colab ]

  • Deep Learning with R

    • 6.1 Working with text data

DL for text and sequence (2022/01/04 by 張家銘) for 01/04 [ colab ]

  • Deep Learning with R

    • 6.2 Understanding recurrent neural networks

    • 6.3 Advanced use of recurrent neural networks