Comments (3)
from hand-gesture-recognition-using-background-elllimination-and-convolution-neural-network.
You are probably right. We might reduce one convolution layer and things might work. We can even reduce the stride size.
from hand-gesture-recognition-using-background-elllimination-and-convolution-neural-network.
I read the link http://tflearn.org/layers/conv/#max-pooling-2d.The max_pool_2d() function defaults to padding='same'.So,maybe you are right,the output of Layer 6 convolution layer is 2x2x64.
from hand-gesture-recognition-using-background-elllimination-and-convolution-neural-network.
Related Issues (10)
- prediction = model.predict([gray_image.reshape(89,100,1)]) ValueError: cannot reshape array of size 7500 into shape (89,100,1) HOT 2
- New Gesture Dataset HOT 5
- Error on name 'camera' is not defined on PalmTracker file
- new dataset HOT 1
- AttributeError: 'NoneType' object has no attribute 'shape' HOT 7
- ValueError: need more than 2 values to unpack HOT 3
- ValueError: The passed save_path is not a valid checkpoint HOT 2
- Version? HOT 2
- [Training Phase] cannot reshape array of size 107100 into shape (89,100,1) HOT 6
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from hand-gesture-recognition-using-background-elllimination-and-convolution-neural-network.