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Face Recognition based on Deep Learning (Siamese Architecture)

score 893 · Answer 1 · 2025-01-08 02:41:23

893

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Face Recognition based on Deep Learning (Siamese Architecture)

Published on 08 January 2025 at 02:41

score 303 · Answer 2 · 2024-12-30 05:26:30

303

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NVIDIA DIGITS - Multiple Input layers

Published on 30 December 2024 at 05:26

score 400 · Answer 3 · 2024-12-30 05:34:45

400

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Nvidia DIGITS: Loss coverage (val and train) go straight to zero

Published on 30 December 2024 at 05:34

score 312 · Answer 4 · 2024-12-30 05:29:52

312

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Call NVIDIA Digits API from Android application

Published on 30 December 2024 at 05:29

score 922 · Answer 5 · 2024-12-30 05:37:04

922

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Define TensorFlow network key names according to an existing checkpoint

Published on 30 December 2024 at 05:37

score 294 · Answer 6 · 2024-12-30 05:34:44

294

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How can I import external prebuilt .LMDB files into NVIDIA DIGITS?

Published on 30 December 2024 at 05:34

score 207 · Answer 7 · 2024-12-30 05:29:50

207

Views

NVIDIA DIGITS: Get accuracy for segmented images

Published on 30 December 2024 at 05:29

score 214 · Answer 8 · 2024-12-30 05:34:43

214

Views

Input must have 4 axes, corresponding to (num, channels, height, width)

Published on 30 December 2024 at 05:34

score 168 · Answer 9 · 2024-12-30 05:32:57

168

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How does Nvidia Digits batch size and data shuffling work?

Published on 30 December 2024 at 05:32

score 373 · Answer 10 · 2024-12-30 05:39:15

373

Views

Cannot copy param 0 weights from layer 'conv1/7x7_s2/bn'; shape mismatch. Caffe Error

Published on 30 December 2024 at 05:39

score 420 · Answer 11 · 2024-12-30 05:39:56

420

Views

Docker Windows host - Installing nVidia driver on the Linux VM used for Linux containers

Published on 30 December 2024 at 05:39

score 70 · Answer 12 · 2024-12-30 05:33:58

70

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How can I use hyperspectral images with nvdia digits ( caffe )?

Published on 30 December 2024 at 05:33

score 150 · Answer 13 · 2024-12-30 05:28:37

150

Views

Attribute error in NVDIA DIGITS installation

Published on 30 December 2024 at 05:28

score 218 · Answer 14 · 2024-12-30 05:25:12

218

Views

Nvidia digits on TX2 Error code 1

Published on 30 December 2024 at 05:25

score 1k · Answer 15 · 2024-12-30 05:40:26

1k

Views

Converting a caffe model to CoreML using coremltools results in inconsistent perdictions

Published on 30 December 2024 at 05:40

score 696 · Answer 16 · 2024-12-30 05:27:18

696

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Nvidia digits object detection own dataset

Published on 30 December 2024 at 05:27

score 868 · Answer 17 · 2024-12-30 05:39:55

868

Views

Does the size of each class in an image classifier's training data have to be equal?

Published on 30 December 2024 at 05:39

score 1k · Answer 18 · 2025-01-01 12:47:04

1k

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NVidia DIGITS DetectNet alternatives

Published on 01 January 2025 at 12:47

score 2k · Answer 19 · 2024-12-30 05:27:16

2k

Views

Graph is finalized and cannot be modified

Published on 30 December 2024 at 05:27

score 454 · Answer 20 · 2024-12-30 05:39:14

454

Views

Why the same configuration network in caffe and pytorch behaves so differently?

Published on 30 December 2024 at 05:39

List Question

Face Recognition based on Deep Learning (Siamese Architecture)

NVIDIA DIGITS - Multiple Input layers

Nvidia DIGITS: Loss coverage (val and train) go straight to zero

Call NVIDIA Digits API from Android application

Define TensorFlow network key names according to an existing checkpoint

How can I import external prebuilt .LMDB files into NVIDIA DIGITS?

NVIDIA DIGITS: Get accuracy for segmented images

Input must have 4 axes, corresponding to (num, channels, height, width)

How does Nvidia Digits batch size and data shuffling work?

Cannot copy param 0 weights from layer 'conv1/7x7_s2/bn'; shape mismatch. Caffe Error

Docker Windows host - Installing nVidia driver on the Linux VM used for Linux containers

How can I use hyperspectral images with nvdia digits ( caffe )?

Attribute error in NVDIA DIGITS installation

Nvidia digits on TX2 Error code 1

Converting a caffe model to CoreML using coremltools results in inconsistent perdictions

Nvidia digits object detection own dataset

Does the size of each class in an image classifier's training data have to be equal?

NVidia DIGITS DetectNet alternatives

Graph is finalized and cannot be modified

Why the same configuration network in caffe and pytorch behaves so differently?

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