关于“Performing Basic Feature Engineering in Keras”的评价
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关于“Performing Basic Feature Engineering in Keras”的评价

10058 条评价

Жанарыс Ы. · 已于 almost 2 years前审核

Sunil G. · 已于 almost 2 years前审核

Abinaya P. · 已于 almost 2 years前审核

Aset A. · 已于 almost 2 years前审核

Inkar O. · 已于 almost 2 years前审核

Jasmin G. · 已于 almost 2 years前审核

Jasmin G. · 已于 almost 2 years前审核

Жансая К. · 已于 almost 2 years前审核

Nicoll Y. · 已于 almost 2 years前审核

Mark K. · 已于 almost 2 years前审核

Marites A. · 已于 almost 2 years前审核

Xiao H. · 已于 almost 2 years前审核

Ashok B. · 已于 almost 2 years前审核

ok

RAFAEL E. · 已于 almost 2 years前审核

Jacob G. · 已于 almost 2 years前审核

Mariusz D. · 已于 almost 2 years前审核

Jamie W. · 已于 almost 2 years前审核

Conrad W. · 已于 almost 2 years前审核

Bharat S. · 已于 almost 2 years前审核

More time needed

Ísis S. · 已于 almost 2 years前审核

Гулбаршын У. · 已于 almost 2 years前审核

Feature crosses gives us a large categorical sparse input, which contradict one video that tells about that "Sparse models contain fewer features and therefore are easier to train on limited data" but actually doing feature crosses we have much more inputs

Andrzej Z. · 已于 almost 2 years前审核

Tomasz W. · 已于 almost 2 years前审核

Галымжан Н. · 已于 almost 2 years前审核

Галымжан Н. · 已于 almost 2 years前审核

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