質問編集履歴
3
誤字修正
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参考:(https://qiita.com/tomo_20180402/items/e8c55bdca648f4877188)
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■■な機能を実装中に以下のエラーメッセージが発生しました。
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### 発生している問題・エラーメッセージ
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```
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### 発生している問題・エラーメッセージ
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```
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Using TensorFlow backend.
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_________________________________________________________________
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Layer (type) Output Shape Param #
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=================================================================
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conv2d_1 (Conv2D) (None, 298, 298, 32) 896
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_________________________________________________________________
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max_pooling2d_1 (MaxPooling2 (None, 149, 149, 32) 0
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_________________________________________________________________
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conv2d_2 (Conv2D) (None, 147, 147, 64) 18496
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_________________________________________________________________
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max_pooling2d_2 (MaxPooling2 (None, 73, 73, 64) 0
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_________________________________________________________________
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conv2d_3 (Conv2D) (None, 71, 71, 128) 73856
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_________________________________________________________________
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max_pooling2d_3 (MaxPooling2 (None, 35, 35, 128) 0
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_________________________________________________________________
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conv2d_4 (Conv2D) (None, 33, 33, 128) 147584
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_________________________________________________________________
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max_pooling2d_4 (MaxPooling2 (None, 16, 16, 128) 0
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_________________________________________________________________
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flatten_1 (Flatten) (None, 32768) 0
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_________________________________________________________________
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dense_1 (Dense) (None, 512) 16777728
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_________________________________________________________________
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dense_2 (Dense) (None, 3) 1539
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=================================================================
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Total params: 17,020,099
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Trainable params: 17,020,099
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Non-trainable params: 0
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_________________________________________________________________
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Traceback (most recent call last):
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File "model-construct.py", line 54, in <module>
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validation_data=(X_test,y_test))
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誤字の修正
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### 前提・実現したいこと
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ここに質問の内容を詳しく書いてください。
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Pythonで画像認識のシステムを学習のため作っています。
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以下記載のサイトを参考に自分自身で綾鷹、おーいお茶、伊右衛門の3種のお茶の画像認識をしたいのですが、予測モデルを学習させる際にdimensionsのエラーが出てしまいます。まだ学習し始めの初心者のため、どこの値が4つに足りてないのかいまいち把握できておりません...
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どうすればよいでしょうか?
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Traceback (most recent call last):
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File "model-construct.py", line 54, in <module>
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validation_data=(X_test,y_test))
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File "/
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File "/ホームディレクトリパス/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py", line 952, in fit
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batch_size=batch_size)
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File "/
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File "/ホームディレクトリパス/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py", line 751, in _standardize_user_data
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exception_prefix='input')
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File "/
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File "/ホームディレクトリパス/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training_utils.py", line 128, in standardize_input_data
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'with shape ' + str(data_shape))
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ValueError: Error when checking input: expected conv2d_1_input to have 4 dimensions, but got array with shape (0, 1)
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