August 2022
Intermediate to advanced
200 pages
5h 16m
Japanese
Content preview from Python1年生 第2版 体験してわかる！会話でまなべる！プログラミングのしくみ
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Chapter
5
162
# 予測結果を表示する
n = clf.predict([data])
print("
予測=",n)
#
画像ファイルを数値リストに変換する
data = imageToData("2.png")
#
数字を予測する
predictDigits(data)
作ったプログラムファイル（pyファイ
ル）と同じフォルダ内に、数字の「
2」を
描いた画像ファイル（
2.png）を用意しま
す。かなり太い線で描きましょう。例えば、
画像サイズが
200x200なら、線の太さは30
ぐらいで描くといいでしょう（サンプル
ファイルの画像データをダウンロードす
ることもできます）。
太い文字で
手書きしよう。
数字を描いた画像を用意する
2
「２」と予測が出ましたね。人工知能く
んは、
この画像を読み込んで、数字の2
と理解したことがわかりました。
予測= [2]
プログラムを実行する
3
出力結果
2
だっちゅ。
ちゃんと学習できたから、予測できたんだね。
すごいよ！ ほんとにちゃんと「２」って出たよ。
たったこれだけのプログラムなのに、かしこいな〜。
163
LESSON
24
プログラム全体の構造
このプログラムは2つの関数を順番に呼び出しています。imageToData関数は数字の画
像を数値リストに変換し、それを受けとった
predictDigits関数がどの数字かを予測します。
data = imageToData("2.png")
predictDigits(data)
imageToData 関数
画像を数値リストに変換
predictDigits ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.