Text classification using reusable embeddings avaliações

5558 avaliações

Sandeep S. · Revisado há over 3 years

Vangara A. · Revisado há over 3 years

Vangara A. · Revisado há over 3 years

Mirsepas S. · Revisado há over 3 years

I never could have figured out the syntax for nnlm_module = KerasLayer( NNLM, output_shape=[50], input_shape=[], dtype=tf.string, trainable=True)

Bertrand C. · Revisado há over 3 years

Toshihiko S. · Revisado há over 3 years

Eduard C. · Revisado há over 3 years

FIORELLA J. · Revisado há over 3 years

Lucian P. · Revisado há over 3 years

Arnaud S. · Revisado há over 3 years

The notebook used (reusable_embeddings.ipynb) was reset by me as instructed. There were TODOs in cells for Lab Task 1a: Import NNLM TF Hub module into KerasLayer. I ran the code from the solution. Still there were warnings, that I hope could be ignored. When I proceeded to section on training, I got error in this cell: nnlm_model = build_model(nnlm_module, 'nnlm') nnlm_history = train_and_evaluate(data, val_data, nnlm_model) Google search on the error string didn't lead to obvious solution: "OP_REQUIRES failed at cast_op.cc:124 : Unimplemented: Cast string to float is not supported"

Sujoy B. · Revisado há over 3 years

Safiyya K. · Revisado há over 3 years

WASEEM A. · Revisado há over 3 years

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Bruno N. · Revisado há over 3 years

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Marcos B. · Revisado há over 3 years

Руслан П. · Revisado há over 3 years

Frank A. · Revisado há over 3 years

Yu S. · Revisado há over 3 years

Erik S. · Revisado há over 3 years

uche M. · Revisado há over 3 years

Marco R. · Revisado há over 3 years

Lam N. · Revisado há over 3 years

JupyterLab was stuck !

Salmane K. · Revisado há over 3 years

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