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Trained models for tensorflow ocr

score 1772 · Answer 1 · 2025-01-07 16:32:21

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1772

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Trained models for tensorflow ocr

1.7k views Asked by mls_dev At 07 January 2025 at 16:32

score 1198 · Answer 2 · 2025-01-07 16:32:13

Keras InceptionV3 model.predict

1.1k views Asked by Yash Sharma At 07 January 2025 at 16:32

score 3039 · Answer 3 · 2025-01-07 16:36:37

Joining/Combining two models for Transfer Leaning in KERAS

3k views Asked by Hamdard At 07 January 2025 at 16:36

score 529 · Answer 4 · 2025-01-07 16:37:24

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

529 views Asked by Hamdard At 07 January 2025 at 16:37

score 2834 · Answer 5 · 2025-01-07 16:40:33

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

2.8k views Asked by Firsttry At 07 January 2025 at 16:40

score 127 · Answer 6 · 2025-01-07 16:39:31

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

127 views Asked by Mountain_y At 07 January 2025 at 16:39

score 234 · Answer 7 · 2025-01-03 12:10:57

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

234 views Asked by Tuan-Anh NGUYEN At 03 January 2025 at 12:10

score 952 · Answer 8 · 2025-01-07 16:38:52

Keras pretrained Xception model always gives the prediction 'sewing_machine'

952 views Asked by sunnwmy At 07 January 2025 at 16:38

score 135 · Answer 9 · 2025-01-03 18:19:52

output layers' name in C api Tensorflow

135 views Asked by AmitN At 03 January 2025 at 18:19

score 344 · Answer 10 · 2025-01-07 16:33:50

why am I getting error in transfer learning?

344 views Asked by AudioBubble At 07 January 2025 at 16:33

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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