Xeonemlia is the feeling that one of your limbs is foreign and the desire to amputate it. It is also known as body identity integrity disorder (BIID). 221 more words

## Tags » Neural Networks

#### Link Roundup, 10/13/14: Deep Neural Networks

**Deep Neural Networks**

** **“At some fundamental level, no one understands machine learning.” —Christopher Olah

“Neural networks are one of the most beautiful programming paradigms ever invented.” — 215 more words

#### This company says it can fix the sales process using lots of data science, and even more data

Salt Lake City, Utah, and the surrounding area are home to an under-appreciated number of technology companies, including one that’s using an immense amount of data to help salespeople put their energies in the right places. 697 more words

#### How to Parallelize Deep Learning on GPUs Part 1/2: Data Parallelism

In my last blog post I showed what to look out for when you build a GPU cluster. Most importantly, you want a fast network connection between your servers and using MPI in your programming will make things much easier than to use the options available in CUDA itself. 1,379 more words

#### Can Companies Learn Your Secrets

**Description:** “If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ” 205 more words

#### Derivation: Maximum Likelihood for Boltzmann Machines

In this post I will review the gradient descent algorithm that is commonly used to train the general class of models known as Boltzmann machines. Though the primary goal of the post is to supplement another post on restricted Boltzmann machines, I hope that those readers who are curious about how Boltzmann machines are trained, but have found it difficult to track down a complete or straight-forward derivation of the maximum likelihood learning algorithm for these models (as I have), will also find the post informative. 815 more words

#### How To Build and Use a Multi GPU System for Deep Learning

When I started using GPUs for deep learning my deep learning skills improved quickly. When you can run experiments of algorithms and algorithms with different parameters and gain rapid feedback you can just learn much more quickly. 950 more words