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補間関数マシンとしてのAI実験  AI Test as an Interpolation Function Machine

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補間関数マシンとしてのAI実験  AI Test as an Interpolation Function Machine

ニューラルネットは補間関数だと前に述べた(https://randomwalkjapan.blogspot.com/2019/05/ai-reality-of-booming-ai.html)が、下の自作ツールで試してみよう!Ealier I mentioned that neural net is an interpolation function(https://randomwalkjapan.blogspot.com/2019/05/ai-reality-of-booming-ai.html) so let's try it out in below tool I made!

10個のデータポイントを色々変えると、関数が難しくなるにつれて、ニューロン数、繰り返し回数、中間層の数を増やさないと追従できなくなることが確認できる。If you change 10 data points, as function become complex, you can confirm that interpolation becomes difficult unless you increase number of neurons, epochs, layers.

https://randomwalkjapan.blogspot.com/2019/10/aiai-as-interpolation-machine.html

Program is at
https://github.com/tanakayutaka/Tensorflow.js-tools-/upload/master .

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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