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Free Debreuil – App Developer from Earth

App Developer from Earth

http://f286.github.io/

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Free Debreuil – App Developer from Earth | f286.github.io Reviews
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App Developer from Earth
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Free Debreuil – App Developer from Earth | f286.github.io Reviews

https://f286.github.io

App Developer from Earth

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1

What is a Neural Network? – Free Debreuil – App Developer from Earth

http://f286.github.io/what-is-neural-net

App Developer from Earth. What is a Neural Network? A neural network is a simulation which emulates the structure of a brain. Instead of directly telling the computer what to do, we create. Then train the simulation with data. For example, to classify a picture, if we show it enough pictures of cats. We can train the network to tell the difference. How exactly do we train them? Does a real brain learn in the same way? Written on April 17, 2016.

2

Basic Convolution Overview – Free Debreuil – App Developer from Earth

http://f286.github.io/Basic-Convolution-Overview

App Developer from Earth. This is a basic overview of a convolutional neural network, which is used for tasks such as image recognition. What is a convolution? Ok, but what does this mean in a network? The way we organize the ‘nodes’ in a network is a 2D grid, and generally we look at the same ‘spot’ on the previous layer. Remember though, that we are also slightly ‘peeking’ at the surrounding pixels. In practice, as we pass through layers we can detect more and more complex features.

3

Visualizing Neural Networks – Free Debreuil – App Developer from Earth

http://f286.github.io/Visualizing-Neural-Networks

App Developer from Earth. I’ve been working on visualizations for neural networks recently, the example provided is for a simple type of recursive network. Looking at the information directly can be an opaque ‘wall of numbers’, so I’m experimenting with creating a simple visual repersentation to show the value and derivative (gradient) of each node. In this example, the block size and color shows the value of the block. The block spin speed show the derivative. To node A, how much does Node B increase by?

4

About – Free Debreuil – App Developer from Earth

http://f286.github.io/about

App Developer from Earth. When I am not programming I play various musical instruments, and study Japanese when I get the chance. I find that there is a lot of overlap between programming and seemingly unrelated areas of study, so I try to do as many different things as I can. Cheers! We are a team with the ability to create desktop and mobile apps from start to finish, and have several released apps in our portfolio. Please contact us if you have a project and we would be happy to provide an estimate.

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About - Binary Pipeline

http://binarypipeline.weebly.com/about.html

A little bit about us. Uprising - Xbox Indie Games - Released 2010. When I am not programming I play various musical instruments, and speak Japanese when I get the chance. I find that there is a lot of overlap between programming and seemingly unrelated areas of study, so I try to do as many different things as I can. Cheers! Itabashi, Tokyo, Japan. Miami, Manitoba, Canada. A Little Bit More About Us. We are identical twins, and often finish each other's sentences. Create a free website.

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Binary Pipeline - Portfolio

http://binarypipeline.weebly.com/portfolio.html

Dec 2015 – March 2016, full time). Integration into design process, including rapid prototyping. Setting up workflows to work effectively in a team environment. Strong focus on iOS export performance. Jan 2015 – May 2015, full time). Creation of simulations to teach physics concepts. Setup of systems and workflows to allow rapid prototyping and content creation. Focus on Unity iOS optimization. App Store Best of 2015, Parent's Choice Globe Award. May 2015 – Sept 2015, full time). September 2012 – A...

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f286.github.io f286.github.io

Free Debreuil – App Developer from Earth

App Developer from Earth. Design Reference for Flow. This is a basic overview of a convolutional neural network, which is used for tasks such as image recognition. I’ve been working on visualizations for neural networks recently, the example provided is for a simple type of recursive network. Looking at the information directly can be an opaque ‘wall of numbers’, so I’m experimenting with creating a simple visual repersentation to show the value and derivative (gradient) of each node.

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