CS231n 강의 목록

2018, Jan 11    

• cs231n의 2017 강의를 공부하고 정리한 내용을 아래 내용과 같이 정리하였습니다.
• 강의 링크 : http://cs231n.stanford.edu/
• ① Introduction
• ② Image Classification
• ③ Loss Functions and Optimization
• ④ Backpropagation and Neural Networks
• ⑤ Convolutional Neural Networks
• ⑥ Training Neural Networks 1
• ⑦ Training Neural Networks 2
• ⑧ Deep Learning Software
• ⑨ CNN Architectures
• ⑩ Recurrent Neural Network
• ⑪ Detection and Segmentation
• ⑫ Visualizing and Understanding
• ⑬ Generative Models
• ⑭ Deep Reinforcement Learning
• ⑮ Efficient Methods and Hardware for Deep Learning