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matcovnet pooling_cup.cpp pooling_backward_cpu function parameters

score 73 · Answer 1 · 2017-09-14 21:50:43

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matcovnet pooling_cup.cpp pooling_backward_cpu function parameters

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Understanding Tensorflow maxpooling

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score 4768 · Answer 3 · 2020-09-30 12:55:10

ValueError: Input 0 of layer sequential_9 is incompatible with the layer: : expected min_ndim=4, found ndim=3. Full shape received: [None, None, None]

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I want to use Conv1D and MaxPool1D in pytorch for a 3-d tensor to its third dimension

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score 118 · Answer 6 · 2023-11-01 13:08:28

RuntimeError: Given input size: (64x1x1). Calculated output size: (64x0x0). Output size is too small

118 views Asked by stranger At 01 November 2023 at 13:08

score 59 · Answer 7 · 2023-12-14 21:45:34

Translate Keras model to PyTorch (shapes cannot be multiplied)

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score 246 · Answer 8 · 2020-11-27 18:00:39

What is "incompatibility of min_ndim and expected ndim" in 3D CNN(Convolutional NN)?

246 views Asked by smaller At 27 November 2020 at 18:00

score 2025 · Answer 9 · 2020-12-08 12:43:59

NameError: name 'max_pool2D' is not defined

2k views Asked by Dexter Khan At 08 December 2020 at 12:43

score 990 · Answer 10 · 2020-12-10 09:15:58

Understanding average (sum) pooling padding in keras

990 views Asked by Ruli At 10 December 2020 at 09:15

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matcovnet pooling_cup.cpp pooling_backward_cpu function parameters

Understanding Tensorflow maxpooling

ValueError: Input 0 of layer sequential_9 is incompatible with the layer: : expected min_ndim=4, found ndim=3. Full shape received: [None, None, None]

I want to use Conv1D and MaxPool1D in pytorch for a 3-d tensor to its third dimension

Upsampling with pooling indices keras (unpooling)

RuntimeError: Given input size: (64x1x1). Calculated output size: (64x0x0). Output size is too small

Translate Keras model to PyTorch (shapes cannot be multiplied)

What is "incompatibility of min_ndim and expected ndim" in 3D CNN(Convolutional NN)?

NameError: name 'max_pool2D' is not defined

Understanding average (sum) pooling padding in keras

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