Como classificar dados estruturados usando camadas de pré-processamento do Keras avaliações

11218 avaliações

Thomas P. · Revisado há almost 3 years

Sergio R. · Revisado há almost 3 years

Rubén C. · Revisado há almost 3 years

Daniel I. · Revisado há almost 3 years

Some components jump straight to really technical jargon and using TF methods that aren't explained well and the user has to go on tangents to understand the rationale. Example is the train_test_split method imported. Other issues I found were that there's a lot of information to consume simultaneously and doing that while trying to visualise what the preprocessing layers are doing is difficult. For example for get_category_encoding_layer part, there are at least 4 steps that go unexplained and I'm not really sure what's happening between getting the encoder, the numeric_col. Am I supposed to have a good understanding of the Normalization object here? A lot of these modules could really use some input from a non-technical person who has gone through the course to convey more meaning as it's really obvious that there's a lot of assumption that the consumer is going to intuit everything on first pass or that they already have a really strong foundation across all of these libraries and concepts.

Sean H. · Revisado há almost 3 years

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Ramzi R. · Revisado há almost 3 years

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Georgios S. · Revisado há almost 3 years

Thu Hien N. · Revisado há almost 3 years

nice

SAI RAM M. · Revisado há almost 3 years

Mikael v. · Revisado há almost 3 years

tensorflow-2-6-20230628-093802: The zone 'projects/qwiklabs-gcp-03-45749288b7c1/zones/us-west1-b' does not have enough resources available to fulfill the request. Try a different zone, or try again later.: Something went wrong. Sorry about that.

Fergus C. · Revisado há almost 3 years

Fergus C. · Revisado há almost 3 years

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