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Trained models for tensorflow ocr

score 1724 · Answer 1 · 2024-12-09 06:14:46

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Trained models for tensorflow ocr

1.7k views Asked by mls_dev At 09 December 2024 at 06:14

score 1140 · Answer 2 · 2024-12-09 06:14:34

Keras InceptionV3 model.predict

1.1k views Asked by Yash Sharma At 09 December 2024 at 06:14

score 2994 · Answer 3 · 2024-12-09 06:21:18

Joining/Combining two models for Transfer Leaning in KERAS

2.9k views Asked by Hamdard At 09 December 2024 at 06:21

score 478 · Answer 4 · 2024-12-17 05:44:11

Changing the input shape of Pre-Trained Models in KERAS (TF Backend)

478 views Asked by Hamdard At 17 December 2024 at 05:44

score 2785 · Answer 5 · 2024-12-09 06:26:12

ValueError: Error when checking target: expected dense_2 to have 4 dimensions, but got array with shape (64, 50) (Keras)

2.7k views Asked by Firsttry At 09 December 2024 at 06:26

score 76 · Answer 6 · 2024-12-09 06:24:52

Insert and train an additional layer between trained lstm layers and output layers

76 views Asked by Mountain_y At 09 December 2024 at 06:24

score 180 · Answer 7 · 2024-11-28 17:59:27

Official tensorflow tutorial: Input pipeline in retraining using transfer learning (retrain.py)

180 views Asked by Tuan-Anh NGUYEN At 28 November 2024 at 17:59

score 904 · Answer 8 · 2024-12-12 05:15:31

Keras pretrained Xception model always gives the prediction 'sewing_machine'

904 views Asked by sunnwmy At 12 December 2024 at 05:15

score 84 · Answer 9 · 2024-12-22 09:32:17

output layers' name in C api Tensorflow

84 views Asked by AmitN At 22 December 2024 at 09:32

score 293 · Answer 10 · 2024-12-13 18:15:29

why am I getting error in transfer learning?

293 views Asked by AudioBubble At 13 December 2024 at 18:15

TechQA.

List Question

Trained models for tensorflow ocr

Keras InceptionV3 model.predict

Joining/Combining two models for Transfer Leaning in KERAS

Changing the input shape of Pre-Trained Models in KERAS (TF Backend)

ValueError: Error when checking target: expected dense_2 to have 4 dimensions, but got array with shape (64, 50) (Keras)

Insert and train an additional layer between trained lstm layers and output layers

Official tensorflow tutorial: Input pipeline in retraining using transfer learning (retrain.py)

Keras pretrained Xception model always gives the prediction 'sewing_machine'

output layers' name in C api Tensorflow

why am I getting error in transfer learning?

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