Skip to content

Latest commit

 

History

History
34 lines (31 loc) · 4.18 KB

README.md

File metadata and controls

34 lines (31 loc) · 4.18 KB

CS231n_2017


📍 참고 자료



Date Lecture title click icon!
24.01.25 Lecture 1 Introduction to Convolutional Neural Networks for Visual Recognition
24.02.01 Lecture 2 Image Classification
24.02.08 Lecture 3 Loss Functions and Optimization
24.02.15 Lecture 4 Introduction to Neural Networks
24.02.22 Lecture 5 Convolutional Neural Networks
24.02.29 Lecture 6 Training Neural Networks I
24.03.07 Assignment1 Assignment1
24.03.14 Lecture 7 Training Neural Networks II
24.03.21 Lecture 8 Deep Learning Software
24.03.28 Lecture 9 CNN Architectures
24.03.04 Lecture 10 Recurrent Neural Networks
24.04.11 Assignment2 Assignment2
24.04.18 Lecture 11 Detection and Segmentation
24.04.25 Lecture 12 Visualizing and Understanding
24.05.02 Lecture 13 Generative Models
24.05.09 Lecture 14 Deep Reinforcement Learning
24.05.16 Lecture 15 Efficient Methods and Hardware for Deep Learning
24.05.23 Lecture 16 Adversarial Examples and Adversarial Training
24.05.30 Assignment3 Assignment3