Using Neural Networks for Content-Based Filtering Reviews

4455 reviews

Mariam N. · Reviewed over 2 years ago

Jens J. · Reviewed over 2 years ago

Doesn't work anymore. The notebooks are written in tensorflow 1.x which you can't install anymore

Jamie E. · Reviewed over 2 years ago

Kenneth N. · Reviewed over 2 years ago

ravikant b. · Reviewed over 2 years ago

Kamaldeep M. · Reviewed over 2 years ago

Cannot complete the lab, the lab is using TF 1.15 while we have only 2.6 as the lowest Enterprise TF version

Liz T. · Reviewed over 2 years ago

Jillani S. · Reviewed over 2 years ago

Martin P. · Reviewed over 2 years ago

Benjamin K. · Reviewed over 2 years ago

Oshi S. · Reviewed over 2 years ago

The lab suggests to pick tensorflow 1.15 environment but 1.15 version is not available on notebooks I tried to use tensorflow compat v1 it still gives an error on tf.contrib.lookup.index_table_from_file(vocabulary_file="content_ids.txt") and I changed it to tf.lookup.StaticVocabularyTable( tf.lookup.TextFileInitializer( "content_ids.txt", key_dtype=tf.string, key_index=tf.lookup.TextFileIndex.WHOLE_LINE, value_dtype=tf.int64, value_index=tf.lookup.TextFileIndex.LINE_NUMBER, delimiter="\n"), 1). But then I got an error at the last cell as _blocking_poll() got an unexpected keyword argument 'retry'. I think according to tensorflow official documentation all labs should migrate to keras preprocessing layers from feature columns.

Volkan B. · Reviewed over 2 years ago

PRANAY P. · Reviewed over 2 years ago

Gil D. · Reviewed over 2 years ago

Gil D. · Reviewed over 2 years ago

Yash J. · Reviewed over 2 years ago

Venu P. · Reviewed over 2 years ago

Terence H. · Reviewed over 2 years ago

Yazeed P. · Reviewed over 2 years ago

Williams C. · Reviewed over 2 years ago

Tanmay B. · Reviewed over 2 years ago

Nicolas V. · Reviewed over 2 years ago

there is compatibility issue between different versions of tensorflow

Zinan L. · Reviewed over 2 years ago

Alex F. · Reviewed over 2 years ago

Lesther S. · Reviewed over 2 years ago

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