質問編集履歴
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エラー時コード追記２
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@@ -54,6 +54,10 @@
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print('accuracy:{:.2f}'.format(acc))
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**#以下データ読み込み、予測コード**
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import numpy as image_np
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from PIL import Image, ImageOps
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import os
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#取得画像answer
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image_ans = (8,9,5,0)
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エラー時のコードに追記
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@@ -6,6 +6,18 @@
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```ここに言語を入力
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%matplotlib inline
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from __future__ import division, print_function
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from keras import backend as K
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from keras.datasets import mnist
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from keras.layers import Activation, Dense, Dropout
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from keras.layers.normalization import BatchNormalization
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from keras.models import Sequential
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from keras.utils.np_utils import to_categorical
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import numpy as np
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from sklearn.metrics import classification_report, confusion_matrix
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# Kerasに付属の手書き数字画像データをダウンロード
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np.random.seed(0)
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(X_train, labels_train), (X_test, labels_test) = mnist.load_data()
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