benanne.github.io
The fastest convolutions in Theano with meta-optimization – Sander Dieleman
http://benanne.github.io/2014/12/09/theano-metaopt.html
Research Scientist at Google DeepMind. The fastest convolutions in Theano with meta-optimization. December 09, 2014. Jan Schlüter from the OFAI. A fellow MIR researcher I have met at several conferences, recently added a feature to Theano that fits so well with my previous. Posts on fast convolutions that we decided to include his writeup on my blog. So enjoy the third part of the series, written by Jan! Over the past year, Theano. THEANO FLAGS=optimizer including=conv meta,metaopt.verbose=1. Obviously, ...
developer.nvidia.com
NVIDIA cuDNN | NVIDIA Developer
https://developer.nvidia.com/cuDNN
Skip to main content. GPU Accelerated Deep Learning. The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. CuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep Learning SDK. CuDNN is freely available to members of the Accelerated Computing Developer Program. What’s New in cuDNN 5. CuDNN 4 K40 vs. cuDNN...
ac297r.org
Syllabus
http://ac297r.org/syllabus.html
You will be dealing with real-world problems, messy data sets, and the chance to work on an end-to-end solution to a problem using computational methods. Students will be placed in groups and each group will work with the instructor who together will identify a particular problem they would like to solve. Students will also work with the instructors and mentors or partners to understand the overall problem, define the problem, and propose a solution. These solutions will be either in the form of a. A ver...
grzegorzgwardys.wordpress.com
April 2016 – Grzegorz Gwardys
https://grzegorzgwardys.wordpress.com/2016/04
Experience with Machine/Deep Learning and more …. Convolutional Neural Networks backpropagation: from intuition to derivation. April 22, 2016. January 14, 2017. Disclaimer: It is assumed that the reader is familiar with terms such as Multilayer Perceptron, delta errors or backpropagation. If not, it is recommended to read for example a chapter 2. Of free online book ‘Neural Networks and Deep Learning’ by Michael Nielsen. By Quora, Facebook or G . It was a little consoling, when I found out that I am not ...
rusthon-lang.blogspot.com
Rusthon: April 2015
http://rusthon-lang.blogspot.com/2015_04_01_archive.html
Simplifying Javascript, C , Go and Rust with a Python inspired language. Live Demo on Heroku. Saturday, April 18, 2015. Unreal Engine4 - CPython Plugin. Rusthon has special syntax for directly using PyObject's from the CPython CAPI. Operator is used on PyObject's, and is transpiled into: PyObject GetAttrString(ob,name). For more info see this wiki page. And this one asking about CPython in Unreal. This example: unreal cpython.md. Shows you how to connect CPython2.7 with Unreal. The example contai...And w...
ac297r.org
Policies
http://ac297r.org/policies.html
It is strongly recommended that you attend all the tutorials, as they will be fun. You will learn and work hands-on on advanced topics during the tutorials. Tutorial notes and notebooks will be posted online, but do not expect all the material talked about in class, as well as questions posed and their answers to be in these notes. Your course grade is calculated as:. Presentation deliverables: presentation paper/report/software-with-docs site video:20. Remember that you will be graded on all the 4 phase...
grzegorzgwardys.wordpress.com
Deep Learning Frameworks Overview – Grzegorz Gwardys
https://grzegorzgwardys.wordpress.com/2016/03/29/deep-learning-frameworks-overview
Experience with Machine/Deep Learning and more …. Deep Learning Frameworks Overview. March 29, 2016. May 7, 2016. I have some experience with caffe. And it was my main tool for research in area of Music Information Retrieval. However, Deep Learning is not reduced to Convolution Neural Networks and caffe. Is not suitable for fast, prototype implementations. So I was faced with the question: What is the best Deep Learning framework? By the time research has moved ahead. However, both question and answers d...
fouryears.eu
Four Years Remaining » Programming
http://fouryears.eu/tags/programming
While writing the previous post. I was thinking of coming up with a small fun illustration for Aframe. I first heard about AFrame at the recent European Innovation Academy. A team-project-based entrepreneurship summer school. The team called MemVee. I am a visual learner myself and understand the importance of such illustrations. In fact, I try to use and preach graphical references in my teaching practice whenever I find the time and opportunity:. For the computer graphics course. Unfortunately the mate...
buildwall.wordpress.com
Applying Neural Network and Local Laplace Filter Methods to Very High Resolution Satellite Imagery to De | 懒得折腾
https://buildwall.wordpress.com/2017/01/09/applying-neural-network-and-local-laplace-filter-methods-to-very-high-resolution-satellite-imagery-to-de
Did you know that the harder thing to do and the right thing to do are usually the same thing? Applying Neural Network and Local Laplace Filter Methods to Very High Resolution Satellite Imagery to De. Applying Neural Network and Local Laplace Filter Methods to Very High Resolution Satellite Imagery to Detect Damage in Urban Areas. That has a detailed ground truth mask of houses. This is the latest vector zip from New York. Figure 1. NY Buildings Vector Layer. Figure 2. Training Data Fragment of CNN.
