CS231n
1.[CS231n] 2. Image Classification
Illumination (조명)Deformation (변형)OcclusionIntraclass variationwant to come up with an algorithm that fits well with all the objects in the natureA nee
2024년 12월 8일
2.[CS231n] 3. Loss Functions and Optimization
Then the question is, which Loss Function to use?1) Multiclass SVM losscar score(5.1) appears to be bigger than cat score(3.2) and this is badBy the f
2024년 12월 9일
3.[CS231n] 4. Introduction to Neural Networks
How does backpropagation work? (computational graphs)(analytic gradient)Next, we update the x, y, and z using Gradient Descent.x_new = x - (step_size)
2024년 12월 9일
4.[CS231n] 5. Convolutional Neural Networks
내용 ㅁㄴㅇㄹ 질문
2024년 12월 10일
5.[CS231n] 6. Training NN
Express functions in terms of in computational graphsNeural Networks, which are linear layers stacked (non-linearities in between)CNN, which are type
2025년 3월 19일
6.[CS231n] 7. Training NN
〰️ 질문
2025년 3월 20일
7.[MIT] Deep Generative Modeling
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2025년 3월 28일