Conditional Generative Adversarial Nets | M. Mirza, S. Osindero | 2014

Introduction Conditional version of Generative Adversarial Nets (GAN) where both generator and discriminator are conditioned on some data y (class label or data from some other modality). Architecture Feed y into both the generator and discriminator as additional input layers such that y and input are combined in a joint hidden representation.

Lecture 2: Markov Decision Processes | Reinforcement Learning | David Silver | Course

1. Markov Process / Markov chain 1.1. Markov process A Markov process or Markov chain is a tuple such that is a finite set of states, and is a transition probability matrix. In a  Markov process, the initial state should be given. How do we choose the initial state is not a role of the Markov process. 1.2. State […]

Graduate School Guide | Summary

References A Survival Guide to a PhD. Andrej Karpathy blog. Sep 7, 2016 [LINK] HOWTO: Get into grad school for science, engineering, math and computer science [LINK] 대학원생을 위한 지극히 개인적인 10가지 조언 [LINK] 논문 읽기 초보자를 위한 Literature survey (문헌 조사) 팁! [LINK] 석사와 박사 [LINK] 내가 대학원에서 생존한 방법 [LINK] 박사 과정을 통해 배운 것들 […]

Applying to Ph.D. Programs in Computer Science

  Author: Mor Harchol-Balter (Computer Science Department Carnegie Mellon University) Last updated: 2014 1 Introduction This document is intended for people applying to Ph.D. programs in computer science or related areas. The author is a professor of computer science at CMU, and has been involved in the Ph.D. admissions process at CMU, U.C. Berkeley, and MIT. 2 Do I […]

Sequence to Sequence Learning with Neural Networks | Summary

References Ilya Sutskever, Oriol Vinyals, Quoc V. Le (2014). “Sequence to Sequence Learning with Neural Networks”. NIPS 2014: 3104-3112. [PDF] Sequence-to-Sequence Models. TensorFlow [LINK] The official tutorial for sequence-to-sequence models. Seq2seq Library (contrib). Tensorflow [LINK] Translation with a Sequence to Sequence Network and Attention. PyTorch. [LINK]

How to Install Caffe

Install Caffe on Linux Ubuntu 16.04 My Configurations Linux: Ubuntu 16.04 LTS Anaconda: Anaconda 2 (64-bit), CPU or GPU: CPU Install Caffe 1. Install CUDA 8 (Optional. I failed this installation.) Go to the CUDA download page( ‘ Go to the directory where the downloaded file is located.

I got an error. Hit CTRL+ALT+F1 […]

Kruskal’s Algorithm

Kruskal’s Algorithm Approach: greedy approach Purpose: to find a minimum spanning tree in a weighted graph Example   References Kruskal’s Algorithm | Essay Assignment | Seminar on Advanced Mathematics Spanning Tree | tutorialspoint Kruskal’s Spanning Tree Algorithm | tutorialspoint Prim’s Spanning Tree Algorithm | tutorialspoint