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Predicting Baby Weight with TensorFlow on Cloud ML Engine

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5b3a3ce6686cd84227cad940712a2801

There was an error in the model.py file (could not find feature_column), preventing me from finishing the lab.

Ioannis M. · Avaliado aproximadamente 7 horas atrás

C94f10841684d27f899ec2683097c8b5

Anar S. · Avaliado aproximadamente 10 horas atrás

8674161bcfb2a80562bbc99ecb79dc47

Maciej W. · Avaliado aproximadamente 11 horas atrás

D6d60c7b5ae894161bbf71abcb79283e

Guruprasad S. · Avaliado aproximadamente 11 horas atrás

Faba9eb211013c1bb45a9ce0675180cf

too dificult, it does not work the code :(

Antonio A. · Avaliado aproximadamente 11 horas atrás

40f40fa7809fec2dba0eb9914781888a

Albin R. · Avaliado aproximadamente 16 horas atrás

A46c1a8119fad318ed7ccd47d07212f9

Øystein G. · Avaliado aproximadamente 18 horas atrás

87bc192818430596cb7d40ab8c58d592

The last section of the lab is terrible. A lot of the details are wrong and a lot of errors when running the Python scripts from running the data model.

Simon T. · Avaliado aproximadamente 20 horas atrás

403074237d5a40c190af7acdf583c216

Ozgur A. · Avaliado 1 dia atrás

E7ffdb634bc09bf98576ebdb85b60acd

Jack Y. · Avaliado 1 dia atrás

Ec28499fa95481535423b51bc5cf1535

Benoit Z. · Avaliado 1 dia atrás

Fda4a74c9e1390998254d6099052140d

Olof S. · Avaliado 1 dia atrás

6c4e4c90656301e4855611c967a130de

George C. · Avaliado 1 dia atrás

7a030f2ed6175d0abb0cb2ba3ccbff14

The Datalab notebook returned a bunch of errors in it. will try againg

NIklas A. · Avaliado 1 dia atrás

2ae261e463b1b706b58468d44ff5803d

Ahmad H. · Avaliado 1 dia atrás

22cf0fba55c57ef49ea6eec3dc4bb505

Lots of Warnings and some errors and exceptions. No point in finishing the lab. The overall pedagogy is also hard to follow for a beginner of TensorFlow and python.

Björn S. · Avaliado 2 dias atrás

410f2de257c3177855a5ab4023b02bd4

Paulo Sergio N. · Avaliado 2 dias atrás

9b5ceda7e473ee39cdaf4bc890b14614

Fateh A. · Avaliado 2 dias atrás

7d992dc618b261ec3929502ee4722bb9

Örjan S. · Avaliado 2 dias atrás

D02375b9afc67106f31d92f64b0b776f

InvalidArgumentErrorTraceback (most recent call last) <ipython-input-21-a10b616ab2a1> in <module>() 26 27 shutil.rmtree('babyweight_trained', ignore_errors=True) # start fresh each time ---> 28 learn_runner.run(experiment_fn, 'babyweight_trained') /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/learn_runner.pyc in run(experiment_fn, output_dir, schedule, run_config, hparams) 216 schedule = schedule or _get_default_schedule(run_config) 217 --> 218 return _execute_schedule(experiment, schedule) 219 220 /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/learn_runner.pyc in _execute_schedule(experiment, schedule) 44 logging.error('Allowed values for this experiment are: %s', valid_tasks) 45 raise TypeError('Schedule references non-callable member %s' % schedule) ---> 46 return task() 47 48

Dag K. · Avaliado 2 dias atrás

Efd1233532823ccfaf4791d63fef7029

Espen H. · Avaliado 2 dias atrás

47849c8fa15d1989a17d4d49fe0b8dd5

Kristina S. · Avaliado 2 dias atrás

C1cfc063d17c764e1e7e7f4f603ec62a

Would have been good to get notice of zone limitations before completing preparation steps. Sample code returns lots of deprecation warnings. InvalidArgumentError in training. Jobs training on Cloud ML Engine fail after 5-7 minutes.

Bernhard R. · Avaliado 3 dias atrás

5113842420c658e82053108ba17562ba

Sigurd H. · Avaliado 3 dias atrás

Fb4a0b8300ddfad06300d3a1c76988d5

Juanjo M. · Avaliado 3 dias atrás