"Tabs"의 두 판 사이의 차이
ph
잔글 |
잔글 |
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| (같은 사용자의 중간 판 10개는 보이지 않습니다) | |||
| 1번째 줄: | 1번째 줄: | ||
| + | * https://arxiv.org/abs/1603.06038 tensor methods and recommander systems | ||
| + | * https://web.stanford.edu/class/math220a/ PDE | ||
| + | ** transport eq. with boundary conditions. https://www.ndsu.edu/pubweb/~novozhil/Teaching/483%20Data/02.pdf | ||
| + | * 당구공문제 | ||
| + | * [http://mxnet.io/model_zoo/index.html modelzoo] | ||
| + | * https://github.com/apache/incubator-mxnet/blob/master/example/recommenders/demo1-MF.ipynb | ||
| + | * http://www.cs.toronto.edu/~rgrosse/courses/csc321_2017/readings/L15%20Exploding%20and%20Vanishing%20Gradients.pdf | ||
* residual 50 | * residual 50 | ||
** https://github.com/KaimingHe/deep-residual-networks | ** https://github.com/KaimingHe/deep-residual-networks | ||
| 5번째 줄: | 12번째 줄: | ||
* Latent Dirichlet Allocation: Towards a Deeper Understanding by Colorado Reed [http://obphio.us/pdfs/lda_tutorial.pdf pdf] | * Latent Dirichlet Allocation: Towards a Deeper Understanding by Colorado Reed [http://obphio.us/pdfs/lda_tutorial.pdf pdf] | ||
* https://stats.stackexchange.com/questions/145768/importance-of-local-response-normalization-in-cnn | * https://stats.stackexchange.com/questions/145768/importance-of-local-response-normalization-in-cnn | ||
| + | * [https://arxiv.org/pdf/1409.4842.pdf going deeper with convolutions] | ||
| + | * [https://github.com/dmlc/mxnet/blob/master/example/image-classification/symbols/inception-bn.py mxnet's inception-bn] | ||
| + | |||
| + | —— | ||
| + | * [https://web.stanford.edu/group/pdplab/pdphandbook/handbookch8.html Chapter 7 The Simple Recurrent Network: A Simple Model that Captures the Structure in Sequences] | ||
| + | * [https://en.wikipedia.org/wiki/Farey_sequence Farey sequence] | ||
| + | * [https://en.wikipedia.org/wiki/Euclid%27s_lemma Eulid’s lemma] | ||
| + | * [http://www.javascripter.net/math/calculators/eulertotientfunction.htm Euler’s totient calculator. up to 20 digits!] | ||
| + | * [http://www.nuriaoliver.com/papers/karatzoglou_recsys2010.pdf Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering] | ||
| + | * [https://arxiv.org/pdf/1603.06038.pdf Tensor Methods and Recommender Systems] | ||
| + | * [https://en.wikipedia.org/wiki/Lenstra_elliptic-curve_factorization Lenstra elliptic-curve factorization] | ||
| + | * [https://www.quantamagazine.org/a-path-less-taken-to-the-peak-of-the-math-world-20170627/ A Path Less Taken to the Peak of the Math World] | ||
| + | * [http://mathinsight.org/directional_derivative_gradient_examples Directional derivative and gradient examples] | ||
| + | * [[mask textspotter]] | ||
2018년 9월 4일 (화) 16:21 기준 최신판
- https://arxiv.org/abs/1603.06038 tensor methods and recommander systems
- https://web.stanford.edu/class/math220a/ PDE
- transport eq. with boundary conditions. https://www.ndsu.edu/pubweb/~novozhil/Teaching/483%20Data/02.pdf
- 당구공문제
- modelzoo
- https://github.com/apache/incubator-mxnet/blob/master/example/recommenders/demo1-MF.ipynb
- http://www.cs.toronto.edu/~rgrosse/courses/csc321_2017/readings/L15%20Exploding%20and%20Vanishing%20Gradients.pdf
- residual 50
- deep learning based image retrieval
- http://psiexp.ss.uci.edu/research/papers/SteyversGriffithsLSABookFormatted.pdf probablistic topic models (pdf, 13p)
- Latent Dirichlet Allocation: Towards a Deeper Understanding by Colorado Reed pdf
- https://stats.stackexchange.com/questions/145768/importance-of-local-response-normalization-in-cnn
- going deeper with convolutions
- mxnet's inception-bn
——
- Chapter 7 The Simple Recurrent Network: A Simple Model that Captures the Structure in Sequences
- Farey sequence
- Eulid’s lemma
- Euler’s totient calculator. up to 20 digits!
- Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering
- Tensor Methods and Recommender Systems
- Lenstra elliptic-curve factorization
- A Path Less Taken to the Peak of the Math World
- Directional derivative and gradient examples
- mask textspotter