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takmakome


Last seen: 8 days ago Active since 2022

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転移学習を利用して回帰学習はできますか?
転移学習のクラス分けできるプログラムは作成下のですがそれを回帰学習に利用することができますか?

26 days ago | 1 answer | 0

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answer

Question


ネットワーク作成時のエラー
layers = [ imageInputLayer([128 128 1]) convolution2dLayer(3,8,'Padding','same') batchNormalizationLayer rel...

1 month ago | 1 answer | 0

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Question


エラーコード エラー: trainNetwork (行 184) 無効な学習データです。回帰タスクの応答は、数値応答のベクトル、行列または 4D 配列でなければなりません。応答に NaN を含めてはなりません。
imds = imageDatastore('機械学習500',"IncludeSubfolders",true,"LabelSource","foldernames"); T = imshow(readimage(imds,1)); data...

1 month ago | 1 answer | 0

1

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Question


[Dt,A,~] = digitTrain4DArrayData [Dv,B,~] = digitTest4DArrayDataに入れたときにcastでクラス変換をdouble型にしたのにdigitTrain4DArrayDataに入れるとカテゴライズ型になってしまう
imds = imageDatastore('機械学習500',"IncludeSubfolders",true,"LabelSource","foldernames"); [xtrain,xval] = splitEachLabel(imds,0.5,...

1 month ago | 1 answer | 0

1

answer

Question


augmentedImageDatastoreに格納した変数にインデックスorプロパティ(変数.label)ができなくて困っています。可能ですか?
imds = imageDatastore('機械学習500',"IncludeSubfolders",true,"LabelSource","foldernames"); [xtrain,xval] = splitEachLabel(imds,0.5,...

1 month ago | 1 answer | 0

1

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Question


4次元配列のforの一つの要素がうまく動きません
imds = imageDatastore('機械学習500',"IncludeSubfolders",true,"LabelSource","foldernames"); [xtrain,xval] = splitEachLabel(imds,0.5,...

1 month ago | 0 answers | 0

0

answers

Question


[XTrain,~,YTrain] = digitTrain4DArrayData; [XValidation,~,YValidation] = digitTest4DArrayDataの「~」これの意味を教えてください。
[XTrain,~,YTrain] = digitTrain4DArrayData; [XValidation,~,YValidation] = digitTest4DArrayDataの「~」これの意味を教えてください。

2 months ago | 1 answer | 0

1

answer

Question


エラー:reshapeはなぜ発生するのですか?
imds = imageDatastore('機械学習用',"IncludeSubfolders",true,"LabelSource","foldernames"); whos imds T = imshow(readimage(imds,1)) ...

2 months ago | 2 answers | 0

2

answers