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i'm looking at some code, trying to see how it works , it's for neural network which is using numpy arrays, i changed dataset with less images but now i get this error in numpy array: " ValueError: setting an array element with a sequence. " Can anyone tell me what's the problem , or do you need whole code?

train = train_data[:-1]
test = train_data[-191:]

X = np.array([i[0] for i in train]).reshape(-1,IMG_SIZE,IMG_SIZE,1)
Y = [i[1] for i in train]

test_x = np.array([i[0] for i in test]).reshape(-1,IMG_SIZE,IMG_SIZE,1)
test_y = [i[1] for i in test]

model.fit({'input': X}, {'targets': Y}, n_epoch=3, validation_set=({'input': test_x}, {'targets': test_y}),
    snapshot_step=500, show_metric=True, run_id=MODEL_NAME)
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    Which line? Theis error often is the result of trying to make an array from objects or arrays of differing sizes. It's trying to make a regular multidimensional array, and can't. Look at the dtype and shape of all objects used in the problem np.array call. Commented Jun 24, 2017 at 22:50
  • On model.fit i get this error. It is the problem in array sizes, but not sure how to check those sizes and how to fix it, hard to understand how it works. Commented Jun 25, 2017 at 14:04
  • Yea i see now, arrays are different by far because of different dataset. I think i figured it oit Commented Jun 25, 2017 at 14:26
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