AI 전문가 - newlife-js/Wiki GitHub Wiki

Stanford cs231n(선발 시험)

사전교육

• Python(05.09 ~ 05.13)
• Linear Algebra(05.16 ~ 05.20)
• Visualization(05.23 ~ 06.03)

공통이론

• AI 개론(06.07 ~ 06.13)
• DeepRL(06.14,17,20)
• Graph Neural Network(07.04)
• Learning Algorithm(07.21 ~ 07.22)
• Weakly Supervised Learning(07.25 ~ 07.26)

음성, NLP

• 자연어 처리(06.21, 06.27 ~ 07.02)
• 음성 인식(06.22 ~ 06.24)
• 감성 분석(07.05 ~ 07.06)
• Machine Reading Comprehension(07.27 ~ 07.28)

비전

• Computer Vision(06.15 ~ 06.16)
• Object Detection(07.07 ~ 07.08)
• Semantic Segmentation(07.11 ~ 07.12)
• 3D Representation(07.13 ~ 07.14)
• Point Cloud(07.15, 07.18)
• Image Processing(07.19 ~ 07.20)

멀티모달

• Multi-Modal Learning(07.29)
• Vision and Language(08.01 ~ 08.02)
• Recommendation & GCN & Time(08.03 ~ 08.05)

시스템

• DNN Accelerator(08.08 ~ 08.09)
• Improving NN Efficiency(08.10 ~ 08.11)
• GPU Architecture(08.12, 08.16)
• Efficient DNN(08.17 ~ 08.18)
• Embedded DL(08.19, 08.22)
• Compiler(08.23 ~ 08.24)
• In Memory Computing(08.25 ~ 08.26)

Wine Recommender

브레인스토밍

참고하면 좋을 것들

• 딥러닝을 이용한 자연어 처리 입문
• Cross Entropy
• Prior, Posterior
• MLE, MAP