高校生の時とマーチングバンド

高校生の時、私の今の活動と高校の活動ことなりました。たとえば、毎日マーチングバンドがありました。マーチングバンドでは、トランペットやチューバやふきました。そして、ピアノをひきました。一年生と二年生の時トランペットをふきまして三年生の時チューバをふきましたて四年生の時ピアノをひきました。

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AnnGram - New GUI

The old GUI framework just wasn’t working out (so far as adding new features went).  So, long story short, I’ve switched GUI layout.

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ロボットと人工知能

しょうらいの日本のテクノロジー文化

日本のテクノロジーは常に面白いです。コンピュータは関係していますから。そして、私のせんこうはコンピュータサイエンスです。テクノロジーでは、ロボットと人工知能「AI」が大好きです!日本のロボットが一番いいです。人工知能が一番じゃんくても、いいですよ。

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AnnGram - Ideas for improvement

After my meeting yesterday with my thesis advisers, I have a number of new ideas to try to improve the efficiency of the neural networks.  The most promising of those are described below.

Sliding window

The first idea was to replace the idea of applying the most common frequencies directly with a sliding window (almost a directly analogue to the nGrams themselves).  The best way that we could come up to implent this would be to give the neural networks some sort of memory which brought up recurring networks (see below).

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AnnGram - NeuralNetwork Library

I’ve been looking for a good Neural Network library to use with the AnnGram project and so far I’ve come across a couple of possibilities:

C# Neural network library

The top link on Google was an aptly named C# Neural network library.  Overall, it looks clean and easy to use and is licensed under the GPL, so should work well for my needs.   The framework has two types of training methods: genetic algorithms and backward propagation.  In addition, there are at least three different activation functions included: linear, signmoid, and heaviside functions.  The main problem with this framework is the spare documentation.  The only that I’ve been able to find so far is a generated API reference and a few examples (using their included GUI framework).

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AnnGram - Initial GUI

Overview

Basically, I got tired of modifying the command line every time I wanted to test new values.  To that end, I spent a small bit of time coding up a GUI to make further experiments easier.

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