Comments (9)
just did the above mentioned :
from keras import backend as K
K.set_image_dim_ordering('th')
and it works for me :)
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run into the same error with dqn.py, any idea? @Exception4U @tokb23
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I think updating ur keras API should solve problem
pip install --upgrade keras
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As I upgraded, I still have the same error:
raise ValueError(err.message)
ValueError: Negative dimension size caused by subtracting 8 from 4 for 'conv2d_1/convolution' (op: 'Conv2D') with input shapes: [?,4,84,84], [8,8,84,32].
@Exception4U
from dqn.
from dqn.
from dqn.
I get that same error, even after I change my keras.json file to
{
"image_dim_ordering": "th",
"epsilon": 1e-07,
"floatx": "float32",
"backend": "tensorflow"
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from dqn.
parallelly I would encourage to use this fork as original author did not merge pull request.
https://github.com/Exception4U/dqn-1
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