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3

誤字修正

2018/12/02 10:50

投稿

soheil
soheil

スコア12

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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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エラーメッセージの修正

2018/12/02 10:50

投稿

soheil
soheil

スコア12

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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

2018/12/02 09:02

投稿

soheil
soheil

スコア12

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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 "/home/s1611497/.pyenv/versions/anaconda3-4.4.0/lib/python3.6/site-packages/keras/engine/training.py", line 952, in fit
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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 "/home/s1611497/.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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+ 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 "/home/s1611497/.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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+ 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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