Ian Goodfellow's one of the popular works is the GAN (Generative Adversarial Networks). These networks basically can generate images (which look like real images). In the coming future, I wish to get into this a bit. Below could be a good start point : a) Tutorial by Goodfellow in NIPS2016 : [Arxiv] [Slides]
Author: kusemanohar
Soft Indicator Function
Very often we come across indicator functions denoting class membership. These functions in their native form are neither continuous nor differentiable. I will describe a trick to convert such indicator functions to an approximate continuous and differentiable function. This blog is organized as follows: Describe a computation case with indicator function Trick to convert More remarks … Continue reading Soft Indicator Function
Reinforcement Learning : Memo
I came across this tutorial series on Reinforcement Learning by Arthur Juliani: [WWW] Fundamentals textbook : Reinforcement Learning: An Introduction - By Richard S. Sutton and Andrew G. Barto Freely available online : https://webdocs.cs.ualberta.ca/~sutton/book/the-book.html Video Tutorial by R. Sutton. OpenAI Gym OpenAI is an research organization for RL. They have a environment called OpenAI-Gym (Python), useful … Continue reading Reinforcement Learning : Memo
Convolutional Networks
Continuing further with Deep Learning, here I will briefly describe what I learned on convolutional network (CNN). If you understand the basics of a simple 2-layer network (fully connected) and can implement it yourself from scratch you are all set to understand the mighty daddy (ie. CNN). Again it is important to understand that CNN, … Continue reading Convolutional Networks
Sending Email from Terminal using mutt
Often times one deals with long running programs and need a quick way to know when the program is finished or intermediate reporting. Simplest way is to email yourself the progress say hourly or so. Simplest way is to setup an gmail account with mutt on your workstation. I use the commandline tool mutt to … Continue reading Sending Email from Terminal using mutt
Deep Residual Nets with Tensorflow
Git Gist : https://gist.github.com/mpkuse/6f9dcd419effa707422eb2c5097f51b4 Deep Residual Nets (ResNets) from Microsoft Research has become one of the popular deep learning network architecture. Already 800+ citation, given that the paper appeared in 2015. Recently, I ported all my code from Caffe to Tensorflow. While it is lot easier to deal with caffe but I must say, the control you … Continue reading Deep Residual Nets with Tensorflow
Toy Kernels
There is a whole lot of literature on mapping data onto higher dimensional spaces. Another closely related and popular term is the kernel trick. See top publications of Prof. Bernhard Schölkopf for example. In this short entry, I start with a linearly non-separable data in 2D. I use a mapping to 3D for this data and visualize. … Continue reading Toy Kernels
Robust Keypoint Point Matching
Came across this interesting paper which does feature matching (SIFT-like features) between images under a probabilistic formulation. The methods starts with all matches as inliers and as iterations progress gets rid of matches. About 120 citations as of May 2017. Jiayi Ma, Ji Zhao, Jinwen Tian, Alan L. Yuille, and Zhuowen Tu. Robust Point Matching via … Continue reading Robust Keypoint Point Matching
GTX 1080 on Ubuntu 14.04 (Trusty)
I recently got the new Geforce GTX 1080. It is a monster. Boasts 8 gigs of memory and 2500 cuda cores. I am using it for my deep learning experiments. I had an existing GTX 980 Ti which I use for display. I already had nvidia driver 343 installed from apt-get and cuda-7.5 running fine. … Continue reading GTX 1080 on Ubuntu 14.04 (Trusty)
Graphics Programming MiddleWare
It is often frustrating to start programing in OpenGL. I came across this OpenSceneGraph which is a middle ware between the 3d application and OpenGL. It is a C++ based toolkit. This toolkit is categorized as a render engine. Render engines are common tools in game development. There is a wiki article which list a … Continue reading Graphics Programming MiddleWare
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