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AI化、5分でチェック・簡単無料POC! 5min POC(Proof Of Concept) on AI!

https://randomwalkjapan.blogspot.com/2020/02/aipoc-5min-poc-proof-of-concept-on-ai.html

自分の仕事がAI化できるか試してみたい人は多いだろう。Many may wish to check if the task working on can be on AI basis.

出来そうな気がするが、人に頼むとお金がかかるし、自分でやるには大変だし。いろんなシステムも宣伝しているが、使い方を覚えるだけで大変だ。決心してやってみて結局だめだったらお金と時間の無駄だし。It looks possible but will cost if ask someone. But looks hassle if do it your own. Google search shows many advertisements on AI systems but looks hard to learn. Also, even if you decided to do it, if it fails eventually, it will be a waste of time and money.

そんな時、無料で、簡単に、可能性をチェックできるのがこのページだ。先に書いた温度管理のプログラムを読み替えただけだ。プログラムはこちら。In such a case, this page provides you, for free and ease, the feasibility check of concept of your idea. This is just another interpretation of previously shown temperature control program I presented. GitHub is here.

https://github.com/tanakayutaka/Tensorflow.js-tools-/blob/master/index%20-%205%20min%20POC%20tool.html

下のアプリの使い方は簡単。ただ、画面に自分の手持ちデータをそのまま入力し、ボタンを押すだけで完了。AIといっても、言語処理、画像、制御などいろいろあるが、ここでは制御が対象。It is very easy to use below application. Simply, just input your data onto the screen, the click button. There are lots of AI out there such as language processing, image processing and control, here we focus on control.

農業、製造、教育など、あらゆる場面でAIは助けになる何でも屋だ。AI is all rounder covering agriculture, manufacturing, education and many other fields.

深く考えずに、まずは身近のデータを入れて実験してみよう! Just jump in before think too much, then input your local data and experiment.

何らかの状態xのもと、何らかの制御zを行うと、結果yが出る。では、ある状態xの場合、ある結果yを実現するには、どんな制御zをおこなえばいいの?という問題に適用できる。Under some circumstance X, by making some control Z, then got result Y. Now to achieve result Y under some circumstance X, how much control Z should be applied? This is the problem we can test here.

使い方は簡単。データ1-9に何らかの観測値(x軸)、制御値(z軸)、そしてその結果生じた値(y軸)を入れ、空色のボタンを押す。計算後、観測値、目標とする結果を実現する制御値(縦軸z)が表示される。グラフが表示されない場合は、グラフのホームアイコンを押す。The usage is easy. Input data set 1-9, i.e., some observation(x-axis), control value(y-axis) and resulting value(y-axis), then push sky blue button. After calculation, control value(vertical z-axis) is shown as surface to achieve target value at observation value. Click Home Icon on the graph if it is not shown.

tanakayutaka
その昔エクセルの前のマルチプランの時代に入社、紙テープのミニコンでFORTRANプログラミング。その後10年以上FORTRANしてからプログラミングは30年ほど中断。NeuralNetとの出会いは、1990年代初頭のNeuralWare。Tensorflowを昨年から始めその便利さに感動。遅いけれど、だれのPCでも即走るTensorflow.jsで現在いろいろアプリを製作中。
https://randomwalkjapan.blogspot.com/
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