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Young Jin Ahn's Blog
Young Jin Ahn's Blog
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@Young Jin Ahn
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#Researching
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What Makes ResNet Good Model?
2022-10-12
ComputerVision
Pytorch
CNN
MRC
Residual Connection is Good, Up to Now ResNet was introduced in 2015 on the paper Deep Residual Learning for Image Recognition. Nevertheless, residual connection is often found on SOTA neural network…
VGG Implementation with Trial and Error
2022-10-03
ComputerVision
Pytorch
CNN
Personal Tips for Reading Paper Read Tables and Figures first: Most of the papers summarizes important findings on the tables and figures. Often times, most of the text on the papers are peripheral e…
Python Language Structure
2022-09-23
GDSC
CS
In the GDSC Yonsei Seoul session held at September 20th, Computer Science & Engineering Basic Knowledge Test was tested on all of the members. There were total 16 questions regarding Data Structure, …
Deep Learning Concepts
2021-08-10
Theory
Cross Validation(or K-fold validation) Dividing dataset and cycle through folds and validating Updating and tuning hyperparameters when cycling through folds Bias and Variance tradeoff What we are m…
Book Recommendation for DL & ML
2021-08-08
Books
My Bookshelf Math Introduction to Linear Algebra by Gilbert Strang Linear Algebra and its applications by Gilbert Strang Difficulty: ⭐️⭐️ Not only Gilbert Strang is an excellent researcher, he is perf…
Gradient Descent on 1D loss function
2021-08-08
Theory
🔗 Google Colab Notebook 3Blue1Brown Gradient Descent Material Gradient Descent is 1) first-order 2) iterative optimization algorithm for 3) finding local minimum of a differentiable (loss) function.
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