NEGOUT: SUBSTITUTE FOR MAXOUT UNITS Maxout [1] units are well-known and frequently used tools for Deep Neural Networks. For whom does not know, with a basic explanation, a Maxout unit is a set of internal activation units competing with each other fo…
Deep Learning in a Nutshell: Core Concepts This post is the first in a series I’ll be writing for Parallel Forall that aims to provide an intuitive and gentle introduction todeep learning. It covers the most important deep learning concepts and aims…
Deep Learning in a Nutshell: Core Concepts Share: Posted on November 3, 2015by Tim Dettmers 7 CommentsTagged cuDNN, Deep Learning, Deep Neural Networks, Machine Learning,Neural Networks This post is the first in a series I’ll be writing for Paral…
Classifying plankton with deep neural networks The National Data Science Bowl, a data science competition where the goal was to classify images of plankton, has just ended. I participated with six other members of my research lab, the Reservoir lab o…
Click here for a newer version (Knet7) of this tutorial. The code used in this version (KUnet) has been deprecated. There are a number of deep learning packages out there. However most sacrifice readability for efficiency. This has two disadvantages:…
[ML] My Journal from Neural Network to Deep Learning: A Brief Introduction to Deep Learning. Part. Eight Dropout & Maxout This is the 8th post of a series of posts I planned about a journal of myself studying deep learning in Professor Bhiksha Raj's…
