[참고자료] CS231n (2016) Assignments

출처 : 페이스북 TensorFlow KR의 박진우 님이 공유해주신 자료

안녕하세요. 혹시 누군가에게 도움이 되지 않을까싶어 CS231n (2016) 과제코드를 공유드리고자 합니다. 얼마전 모두의 연구소 DeepLab Edu반에서 진행했던 스터디 산출물입니다. 
혹시 살펴보시다가 부족한 부분이 있으면 피드백주세요. 반영하도록 하겠습니다. ^^

Repository for programming assignments of CS231n: Convolutional Neural Networks for Visual Recognition (Winter 2016).

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Contents

Assignment1

• Q1: k-Nearest Neighbor classifier (20 points)
• Q2: Training a Support Vector Machine (25 points)
• Q3: Implement a Softmax classifier (20 points)
• Q4: Two-Layer Neural Network (25 points)
• Q5: Higher Level Representations: Image Features (10 points)

Assignment2

• Q1: Fully-connected Neural Network (30 points)
• Q2: Batch Normalization (30 points)
• Q3: Dropout (10 points)
• Q4: ConvNet on CIFAR-10 (30 points)

Assignment3

• Q1: Image Captioning with Vanilla RNNs (40 points)
• Q2: Image Captioning with LSTMs (35 points)
• Q3: Image Gradients: Saliency maps and Fooling Images (10 points)
• Q4: Image Generation: Classes, Inversion, DeepDream (15 points)

Link

• Course Home
• Syllabus
• Lecture Note