Learning RBM(Restricted Boltzmann Machine in Practice)Mad Scientists
In Deep Learning, learning RBM is basic hierarchical components of the layer. In this slide, we can learn basic components of RBM (bipartite graph, Gibbs Sampling, Contrastive Divergence (1-CD), Energy function of entropy).
Learning RBM(Restricted Boltzmann Machine in Practice)Mad Scientists
In Deep Learning, learning RBM is basic hierarchical components of the layer. In this slide, we can learn basic components of RBM (bipartite graph, Gibbs Sampling, Contrastive Divergence (1-CD), Energy function of entropy).
Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hier...Mad Scientists
Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations, Honglak Lee(ICML 2009)
석사과정 세미나 발표를 위해 논문을 읽고 분석한 내용입니다. CDBN은 CNN와 DBN의 장점을 결합하여 translation invariance와 computational competence를 확보하였고, probabilistic max-pooling을 통해 image restoration을 할 수 있는 undirected DBM을 구성할 수 있게 합니다.
Sogang University Machine Learning and Data Mining lab seminar, Neural Networks for newbies and Convolutional Neural Networks. This is prerequisite material to understand deep convolutional architecture.
Relational Mate Value: Consensus and Uniqueness in Romantic EavaluationsMad Scientists
Usually we define our mate value as a traits. That is called 'Classic model' in Social Exchange theory. However, in this presentation, we will introduce 'Relational model', which examines person's 'uniqueness'. In this paper the author found that as time goes by, the mate value rate will be more precise when we apply Relational Model. Instead of Classical Mate model. Thus, we are going to discuss how they measure of these traits in detail.
While I am visiting Finland, I felt a lot of things already had flew behind me. That is because I was not familiar with Finland's start-up culture. Frankly speaking, I was not familiar with start-up culture radically.
All I heard about that before is only from youtube, coursera, or books. However, when I stayed in Finland, I felt so much people in Finland already had adapted start-up culture and entrepreneurship's mindset.
This presentation represents my experience at that time in 2012 Finland, Helsinki. Especially, I want to say thank you to Fastr books, Catch box team, and Startup sauna. Without them, these presentation and what I felt won't came out like this.
I am very proud that those companies and organisation be my friend. I hope many of Korean entreprenuers read this presentation and be stimulated by themselves to grow.
Face Feature Recognition System with Deep Belief Networks, for Korean/KIISE T...Mad Scientists
I submitted KIISE Thesis that <face>, 2014.
In this presentation, I present why I use deep learning to find facial features and what is limitation of before method.
We think that Superhero movies are not cultural, not ideological, but it is totally cultural. Moreover, it delivers Americanization as if it is Globalization. We analyze this topic on cultural way, and suggest its ideal way.
[SW Maestro] Team Loclas 1-2 Final PresentationMad Scientists
Using Datamining, we classify 90% of non-logged on person's preference by their searching keywords.
It is sufficient to use because it makes useless value to useful and easy-to-performing a target marketing.
자본주의는 클래스가 있음을 인정하는 사회이나, 분명한것은 그 클래스가 민주주의가 보장하는 자유나 권리를 침해해선 안된다. 이 발표는 그러한 원칙을 어기고 있는 광고를 소개함으로써 현대 캐피탈이 생산하는 Class의 개념이 현재 민주주의가 가지고 있는 모든 이들의 권리를 침해하는 새로운 Class임을 밝히고, 분석한다
Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hier...Mad Scientists
Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations, Honglak Lee(ICML 2009)
석사과정 세미나 발표를 위해 논문을 읽고 분석한 내용입니다. CDBN은 CNN와 DBN의 장점을 결합하여 translation invariance와 computational competence를 확보하였고, probabilistic max-pooling을 통해 image restoration을 할 수 있는 undirected DBM을 구성할 수 있게 합니다.
Sogang University Machine Learning and Data Mining lab seminar, Neural Networks for newbies and Convolutional Neural Networks. This is prerequisite material to understand deep convolutional architecture.
Relational Mate Value: Consensus and Uniqueness in Romantic EavaluationsMad Scientists
Usually we define our mate value as a traits. That is called 'Classic model' in Social Exchange theory. However, in this presentation, we will introduce 'Relational model', which examines person's 'uniqueness'. In this paper the author found that as time goes by, the mate value rate will be more precise when we apply Relational Model. Instead of Classical Mate model. Thus, we are going to discuss how they measure of these traits in detail.
While I am visiting Finland, I felt a lot of things already had flew behind me. That is because I was not familiar with Finland's start-up culture. Frankly speaking, I was not familiar with start-up culture radically.
All I heard about that before is only from youtube, coursera, or books. However, when I stayed in Finland, I felt so much people in Finland already had adapted start-up culture and entrepreneurship's mindset.
This presentation represents my experience at that time in 2012 Finland, Helsinki. Especially, I want to say thank you to Fastr books, Catch box team, and Startup sauna. Without them, these presentation and what I felt won't came out like this.
I am very proud that those companies and organisation be my friend. I hope many of Korean entreprenuers read this presentation and be stimulated by themselves to grow.
Face Feature Recognition System with Deep Belief Networks, for Korean/KIISE T...Mad Scientists
I submitted KIISE Thesis that <face>, 2014.
In this presentation, I present why I use deep learning to find facial features and what is limitation of before method.
We think that Superhero movies are not cultural, not ideological, but it is totally cultural. Moreover, it delivers Americanization as if it is Globalization. We analyze this topic on cultural way, and suggest its ideal way.
[SW Maestro] Team Loclas 1-2 Final PresentationMad Scientists
Using Datamining, we classify 90% of non-logged on person's preference by their searching keywords.
It is sufficient to use because it makes useless value to useful and easy-to-performing a target marketing.
자본주의는 클래스가 있음을 인정하는 사회이나, 분명한것은 그 클래스가 민주주의가 보장하는 자유나 권리를 침해해선 안된다. 이 발표는 그러한 원칙을 어기고 있는 광고를 소개함으로써 현대 캐피탈이 생산하는 Class의 개념이 현재 민주주의가 가지고 있는 모든 이들의 권리를 침해하는 새로운 Class임을 밝히고, 분석한다
1. 나를 자극하는 Real world Algorithm
(1/2)
Reddit Up-vote
TF-IDF
Netflix Collaborative Filtering
Google Page Rank
Jaehyun Ahn (jaehyunahn@sogang.ac.kr), 메리버드
2. 자극
• 외부에서 작용을 주어 감각이나 마음에 반응
이 일어나게 함. 또는 그런 작용을 하는 사물
2
3. 자극
• 외부에서 작용을 주어 감각이나 마음에 반응
이 일어나게 함. 또는 그런 작용을 하는 사물
3
47. Reddit up-vote Algorithm
조건1.
Vote를 많이 받아야 하고
조건2. 시간이 지나면 식상한 떡밥이 될테니 사라져야 한다
문제점 메인에 걸려있는 시간이 길수록 추가적인 Up-‐vote를 받으므로
다른 메인 후보글들이 Up-‐vote가 높아도 메인을 따라잡기 어렵다
22