質問編集履歴
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補足
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上記のリンクのコードと変更した箇所
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```python
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#accの箇所をaccuracyに変更
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def plot_loss_accuracy_graph(fit_record):
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# 青い線で誤差の履歴をプロットします、検証時誤差は黒い線で
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plt.plot(fit_record.history['loss'], "-D", color="blue", label="train_loss", linewidth=2)
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plt.plot(fit_record.history['val_loss'], "-D", color="black", label="val_loss", linewidth=2)
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plt.title('LOSS')
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plt.xlabel('Epochs')
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plt.ylabel('Loss')
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plt.legend(loc='upper right')
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plt.show()
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# 緑の線で精度の履歴をプロットします、検証時制度は黒い線で
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plt.plot(fit_record.history['accuracy'],"-o", color="green", label="train_accuracy", linewidth=2)
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plt.plot(fit_record.history['val_accuracy'],"-o",color="black", label="val_accuracy", linewidth=2)
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plt.title('ACCURACY')
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plt.xlabel('Epochs')
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plt.ylabel('Accuracy')
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plt.legend(loc="lower right")
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plt.show()
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```
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```python
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#keras.utils.to_categoricalの箇所をnp_utils.to_categoricalに変更
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from keras.utils import np_utils
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# 学習用教師ラベルデータをOne-hotベクトルに変換します
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print('Keras変換前学習用教師ラベルデータ train_teacher_labels shape:', train_teacher_labels.shape)
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train_teacher_labels= np_utils.to_categorical(train_teacher_labels, NUM_CLASSES)
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print('Keras変換後学習用教師ラベルデータ train_teacher_labels shape:',train_teacher_labels.shape)
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# 検証用教師ラベルデータをOne-hotベクトルに変換します
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print('Keras変換前検証用教師ラベルデータ test_teacher_labels shape:', test_teacher_labels.shape)
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print(test_teacher_labels)
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test_teacher_labels = np_utils.to_categorical(test_teacher_labels, NUM_CLASSES)
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print('Keras変換後検証用教師ラベルデータ test_teacher_labels shape:',test_teacher_labels.shape)
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print(test_teacher_labels)
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```
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55
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googlecolabの環境
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keras2.5.0
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