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Transformer augmented cGAN

score 57 · Answer 1 · 2023-11-14 11:08:18

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Transformer augmented cGAN

57 views Asked by DAMANDEEP SINGH At 14 November 2023 at 11:08

score 171 · Answer 2 · 2023-12-17 23:59:46

How to train a model for a dataset of images with 12 bands using TensorFlow's pix2pix notebook?

171 views Asked by Naser.Sadeghi At 17 December 2023 at 23:59

score 61 · Answer 3 · 2022-05-31 07:18:32

I want to optimize the conditon gan model (generator),error: shape '[64, 3, 64, 64]' is invalid for input of size 2952192 ，

61 views Asked by Jackie J At 31 May 2022 at 07:18

score 30 · Answer 4 · 2023-07-26 14:37:04

Data cardinality is ambiguous: x sizes: 15, 15 y sizes: 30 Make sure all arrays contain the same number of samples

30 views Asked by Bindu Yamajala At 26 July 2023 at 14:37

score 166 · Answer 5 · 2023-02-03 12:57:01

ValueError: Input 0 of layer “Discriminator” is incompatible with the layer: expected shape=(None, 3), found shape=(100, 2)

166 views Asked by Shrija Sheth At 03 February 2023 at 12:57

score 96 · Answer 6 · 2022-01-09 02:28:44

best way of using float as the conditional input for cGAN? one-hot encoder?

96 views Asked by icarus.z At 09 January 2022 at 02:28

score 166 · Answer 7 · 2023-05-10 04:46:14

Implementation of the discriminator in CGAN

166 views Asked by odbhut.shei.chhele At 10 May 2023 at 04:46

score 152 · Answer 8 · 2022-02-09 07:08:13

In layers.append(nn.BatchNorm1d(out_feat, 0.8)) and layers.append(nn.LeakyReLU(0.2, inplace=True)) What is meant by 0.8 and 0.2?

152 views Asked by Tithi Paul At 09 February 2022 at 07:08

score 31 · Answer 9 · 2024-01-23 22:19:24

Non-frontal Facial landmark prediction

31 views Asked by ibnsulaimaan At 23 January 2024 at 22:19

score 80 · Answer 10 · 2023-10-06 08:04:58

Python Tensorflow error "Input 0 of layer "dense" is incompatible with the layer: expected min_ndim=2, found ndim=1."

80 views Asked by Ender At 06 October 2023 at 08:04

TechQA.

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Transformer augmented cGAN

How to train a model for a dataset of images with 12 bands using TensorFlow's pix2pix notebook?

I want to optimize the conditon gan model (generator),error: shape '[64, 3, 64, 64]' is invalid for input of size 2952192 ，

Data cardinality is ambiguous: x sizes: 15, 15 y sizes: 30 Make sure all arrays contain the same number of samples

ValueError: Input 0 of layer “Discriminator” is incompatible with the layer: expected shape=(None, 3), found shape=(100, 2)

best way of using float as the conditional input for cGAN? one-hot encoder?

Implementation of the discriminator in CGAN

In layers.append(nn.BatchNorm1d(out_feat, 0.8)) and layers.append(nn.LeakyReLU(0.2, inplace=True)) What is meant by 0.8 and 0.2?

Non-frontal Facial landmark prediction

Python Tensorflow error "Input 0 of layer "dense" is incompatible with the layer: expected min_ndim=2, found ndim=1."

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