Hands-on Machine Learning - Deep Learning part (Chap10~19)

HPCLab. group study, spring, 2021

  • Member: No You Chan, Sang Won Choi, Yun Seong Cho, Dae Joon Choi, Duksu Kim

  • Textbook [link]

Chap. 10. Introduction to Artificial Neural Networks with Keras

  • (3/29) Chap 10.1~10.2, Sang Won Choi [Slides] [Video]

  • (4/5) Chap 10.3~10.4, You Chan No [Slides]

Chap 11. Training Deep Neural Networks

  • (4/12) Chap 11.1~11.3, Yun Seong Cho [Slides] [Video]

  • (4/19) Chap 11.4~11.6, Dae Joon Choi [Slides] [Video]

Chap 12. Custom Models and Traning TensorFlow


Chap 13. Loading and Preprocessing Data with TensorFlow


Chap 14. Deep Computer Vision Using Convolution Neural Networks


Chap 15. Processing Sequences Using RNNs and CNNS


Chap 16. Natural Language Processing with RNNs and Attention


Chap 17. Representation Learning and Generative Learning Using Autoencoders and GANs


Chap 18. Reinforcement Learning


Chap 19. Traning and Deploying TensorFlow Models at Scale