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【CS-4476-project 6】Deep Learning

AlexNet / VGG-F network visualized by mNeuron. Project 6: Deep LearningIntroduction to Computer Vision Brief Due date: Tuesday, December 6th, 11:55pm Project materials including starter code, training and testing data, and html writeup template: proj

Machine and Deep Learning with Python

Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur

Open Data for Deep Learning

Open Data for Deep Learning Here you'll find an organized list of interesting, high-quality datasets for machine learning research. We welcome your contributions for curating this list! You can find other lists of such datasets on Wikipedia, for exam

（转）分布式深度学习系统构建 简介 Distributed Deep Learning

HOME ABOUT CONTACT SUBSCRIBE VIA RSS DEEP LEARNING FOR ENTERPRISE Distributed Deep Learning, Part 1: An Introduction to Distributed Training of Neural Networks Oct 3, 2016 3:00:00 AM / by Alex Black and Vyacheslav Kokorin Tweet inShare27   This post

Understanding Convolution in Deep Learning

Understanding Convolution in Deep Learning Convolution is probably the most important concept in deep learning right now. It was convolution and convolutional nets that catapulted deep learning to the forefront of almost any machine learning task the

The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near

The Brain vs Deep Learning Part I: Computational Complexity — Or Why the Singularity Is Nowhere Near July 27, 2015July 27, 2015 Tim Dettmers Deep Learning, NeuroscienceDeep Learning, dendritic spikes, high performance computing, neuroscience, singula

Setting up a Deep Learning Machine from Scratch (Software)

Setting up a Deep Learning Machine from Scratch (Software) A detailed guide to setting up your machine for deep learning research. Includes instructions to install drivers, tools and various deep learning frameworks. This was tested on a 64 bit machi

26 THINGS I LEARNED IN THE DEEP LEARNING SUMMER SCHOOL

26 THINGS I LEARNED IN THE DEEP LEARNING SUMMER SCHOOL In the beginning of August I got the chance to attend the Deep Learning Summer School in Montreal. It consisted of 10 days of talks from some of the most well-known neural network researchers. Du

DEEP LEARNING WITH STRUCTURE

DEEP LEARNING WITH STRUCTURE Charlie Tang is a PhD student in the Machine Learning group at the University of Toronto, working with Geoffrey Hinton and Ruslan Salakhutdinov, whose research interests include machine learning, computer vision and cogni