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다른 tensorshape : 나는 내 자신의 훈련 이미지를 사용하도록 수정 https://github.com/fchollet/keras/blob/master/examples/cifar10_cnn.pyKeras cifar-10 값 오류 내가 여기에 10 keras 튜토리얼 cifar 표준을 다음했다
. 각 이미지는 cifar 세트의 크기를 복제합니다. 즉, 각각 32x32 및 3 채널입니다. 각 이미지의
모양 : 아래 전체 출력과 같이
(32,32,3)
그러나, 나는 ValueError를로 실행합니다.
X_train shape: (7200, 32, 32, 3)
7200 train samples
800 test samples
Using real-time data augmentation.
Epoch 1/200
Traceback (most recent call last):
File "<ipython-input-16-70ca8831e139>", line 162, in <module>
validation_data=(X_test, Y_test))
File "/storage/programfiles/anaconda3/lib/python3.5/site-packages/keras/models.py", line 651, in fit_generator
max_q_size=max_q_size)
File "/storage/programfiles/anaconda3/lib/python3.5/site-packages/keras/engine/training.py", line 1383, in fit_generator
class_weight=class_weight)
File "/storage/programfiles/anaconda3/lib/python3.5/site-packages/keras/engine/training.py", line 1167, in train_on_batch
outputs = self.train_function(ins)
File "/storage/programfiles/anaconda3/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 659, in __call__
updated = session.run(self.outputs + self.updates, feed_dict=feed_dict)
File "/storage/programfiles/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 372, in run
run_metadata_ptr)
File "/storage/programfiles/anaconda3/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 625, in _run
% (np_val.shape, subfeed_t.name, str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (32, 32, 32, 3) for Tensor 'convolution2d_input_7:0', which has shape '(?, 3, 32, 32)'
나를 도와 줄 수있는 사람이 있습니까? :)
편집 : 나는대로 재편 시도는 다음과 같습니다 대신 추락
X_train = X_train.reshape((7200,3,32,32))
X_test = X_test.reshape((-1,3,32,32))
.