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RNDuja Blog

a group of people that like spicy nduja

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RNDuja Blog | rnduja.github.io Reviews

https://rnduja.github.io

a group of people that like spicy nduja

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1

A tour of Factor: 1 - RNDuja Blog

http://rnduja.github.io/2016/05/23/a-tour-of-factor-1

A tour of Factor: 1. Getting your feet wet with concatenative programming. Posted by Andrea Ferretti on May 23, 2016. A panoramic tour of Factor. This series is a repost from A panoramic tour of Factor. I will split the original tutorial in more manageable chunks, but the content will stay mostly the same. I assume you are an experienced programmer familiar with a functional language, and I’ll assume you understand concepts like folding. You may wonder why you should care enough about Factor to read this...

2

Introduction to OpenCL - RNDuja Blog

http://rnduja.github.io/2016/05/31/opencl-intro

Posted by Andrea Ferretti on May 31, 2016. Some slides for an introdutory talk about OpenCL. The examples mentioned are in Nim, and are available here. They should be legible even if you have no previous knowledge of Nim. Larr; Previous Post. Next Post →.

3

A tour of Factor: 2 - RNDuja Blog

http://rnduja.github.io/2016/05/27/a-tour-of-factor-2

A tour of Factor: 2. Simplifiying flow with combinators. Posted by Andrea Ferretti on May 27, 2016. If you’ve been paying close attention so far, you realize I’ve lied to you. I said each word acts on the stack in order, but there a few words like. That don’t seem to follow this rule. These are parsing words. And they behave differently from simpler words like. We will cover these in more detail when we talk about metaprogramming, but for now it is enough to know that parsing words are special. Here is a...

4

A tour of Factor: 3 - RNDuja Blog

http://rnduja.github.io/2016/06/20/a-tour-of-factor-3

A tour of Factor: 3. Posted by Andrea Ferretti on June 20, 2016. It is now time to start writing your functions in files and learn how to import them in the listener. Factor organizes words into nested namespaces called vocabularies. You can import all names from a vocabulary with the word. In fact, you may have seen something like. When you asked the listener to import the word. For you. You can also use more than one vocabulary at a time with the word. There are a few more words, like. Containing an em...

5

RNDuja Blog

http://rnduja.github.io/page2

Posted by Andrea Ferretti and Fabio Fumarola on March 25, 2016. Posted by Fabio Fumarola on February 15, 2016. Posted by Edoardo Vacchi on January 19, 2016. A Torch autoencoder example. Extracting features from MNIST digits. Posted by Andrea Ferretti on November 6, 2015. Deep Learning with Torch: 8. How to evaluate the model during training. Posted by Fabio Fumarola on November 3, 2015. Deep Learning with Torch: 7. Posted by Fabio Fumarola on October 26, 2015. Larr; Newer Posts. Older Posts →.

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RNDuja Blog

A tour of Factor: 4. Posted by Andrea Ferretti on July 4, 2016. A tour of Factor: 3. Posted by Andrea Ferretti on June 20, 2016. Posted by Andrea Ferretti on May 31, 2016. A tour of Factor: 2. Simplifiying flow with combinators. Posted by Andrea Ferretti on May 27, 2016. A tour of Factor: 1. Getting your feet wet with concatenative programming. Posted by Andrea Ferretti on May 23, 2016. Posted by Fabio Fumarola on May 6, 2016. Older Posts →.

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