Text classification using reusable embeddings Reviews

GAJJELA M. · Reviewed over 3 years ago

POLISERLA D. · Reviewed over 3 years ago

POLISERLA D. · Reviewed over 3 years ago

MODIBOINA S. · Reviewed over 3 years ago

PASUPULETI A. · Reviewed over 3 years ago

GANGARAPU D. · Reviewed over 3 years ago

GANGARAPU D. · Reviewed over 3 years ago

SOMALA Y. · Reviewed over 3 years ago

Vijaya Satya Gowri Saikrishna D. · Reviewed over 3 years ago

Excellent MLOPs flow

lonnie l. · Reviewed over 3 years ago

AKKANA R. · Reviewed over 3 years ago

Anderson Christian d. · Reviewed over 3 years ago

Vakkalagadda P. · Reviewed over 3 years ago

Sandeep S. · Reviewed over 3 years ago

Vangara A. · Reviewed over 3 years ago

Vangara A. · Reviewed over 3 years ago

Mirsepas S. · Reviewed over 3 years ago

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. · Reviewed over 3 years ago

Toshihiko S. · Reviewed over 3 years ago

Eduard C. · Reviewed over 3 years ago

FIORELLA J. · Reviewed over 3 years ago

Lucian P. · Reviewed over 3 years ago

Arnaud S. · Reviewed over 3 years ago

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. · Reviewed over 3 years ago

Safiyya K. · Reviewed over 3 years ago