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Trained models for tensorflow ocr

score 1718 · Answer 1 · 2017-01-04 22:53:18

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Trained models for tensorflow ocr

1.7k views Asked by mls_dev At 04 January 2017 at 22:53

score 1135 · Answer 2 · 2017-08-28 13:22:07

Keras InceptionV3 model.predict

1.1k views Asked by Yash Sharma At 28 August 2017 at 13:22

score 2990 · Answer 3 · 2017-08-28 17:50:15

Joining/Combining two models for Transfer Leaning in KERAS

2.9k views Asked by Hamdard At 28 August 2017 at 17:50

score 473 · Answer 4 · 2017-08-28 04:11:29

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

473 views Asked by Hamdard At 28 August 2017 at 04:11

score 2777 · Answer 5 · 2017-08-26 14:31:45

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 26 August 2017 at 14:31

score 72 · Answer 6 · 2017-09-10 07:25:16

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

72 views Asked by Mountain_y At 10 September 2017 at 07:25

score 175 · Answer 7 · 2017-09-08 07:28:51

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

175 views Asked by Tuan-Anh NGUYEN At 08 September 2017 at 07:28

score 898 · Answer 8 · 2017-09-14 02:04:33

Keras pretrained Xception model always gives the prediction 'sewing_machine'

898 views Asked by sunnwmy At 14 September 2017 at 02:04

score 77 · Answer 9 · 2020-09-27 17:12:51

output layers' name in C api Tensorflow

77 views Asked by AmitN At 27 September 2020 at 17:12

score 287 · Answer 10 · 2020-10-04 19:41:06

why am I getting error in transfer learning?

287 views Asked by AudioBubble At 04 October 2020 at 19:41

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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