質問編集履歴
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Pythonコードと出力されたグラフ等を追記しました。
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@@ -25,3 +25,135 @@
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謎すぎてよろしくお願いします。
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------------------------------------------------------------
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言葉足らずですいません。追記させていただきます。
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【モジュールのインポート】
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```Python
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import keras
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from keras.utils import np_utils
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from keras.models import Sequential
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from keras.layers.convolutional import Conv2D, MaxPooling2D
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from keras.layers.core import Dense, Dropout, Activation, Flatten
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import numpy as np
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from sklearn.model_selection import train_test_split
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from PIL import Image
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import glob
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import matplotlib.pyplot as plt
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```
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【モデルの学習】
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```Python
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# コンパイル
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model.compile(loss='categorical_crossentropy',optimizer='SGD',metrics=['accuracy'])
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#訓練
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history = model.fit(X_train, Y_train, epochs=68)
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```
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結果
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Epoch 63/68
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11/11 [==============================] - 8s 738ms/step - loss: 0.6579 - accuracy: 0.5960
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Epoch 64/68
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11/11 [==============================] - 8s 741ms/step - loss: 0.6106 - accuracy: 0.7025
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Epoch 65/68
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11/11 [==============================] - 8s 742ms/step - loss: 0.5175 - accuracy: 0.8125
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Epoch 66/68
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11/11 [==============================] - 8s 743ms/step - loss: 0.4060 - accuracy: 0.8675
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Epoch 67/68
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11/11 [==============================] - 8s 736ms/step - loss: 0.2739 - accuracy: 0.9247
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Epoch 68/68
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11/11 [==============================] - 8s 740ms/step - loss: 0.1299 - accuracy: 0.9590
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【学習結果の表示】
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```Python
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#学習結果を表示
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accuracy = history.history['accuracy']
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loss = history.history['loss']
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epochs = range(len(accuracy))
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plt.plot(epochs, accuracy, 'bo', label='Training accuracy')
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plt.title('Training and validation accuracy')
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plt.legend()
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plt.plot(epochs, loss, 'bo', label='Training loss')
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plt.title('Training and validation loss')
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plt.legend()
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```
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【学習したモデルの保存】
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```Python
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model.save("model.hdf5")
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```
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ここでエラーを起こしました。
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AttributeError: 'NoneType' object has no attribute 'save'
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とでてきました。
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