Realizar engenharia de atributos avançada no Keras avaliações
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Realizar engenharia de atributos avançada no Keras avaliações

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Renato A. · Revisado há about 2 years

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Amiya S. · Revisado há about 2 years

The Todos in the notebook have nothing to do with the videos. There is no way to solve them apart from copying and pasting from the solution notebook (except for Todo 2a maybe) and since even there nothing is explaining, one can only stupidly copy and paste code without understanding anything (or with wasting a lot of time googling in order to try to understand the code). The only thing this lab is good at is frustrating people from learning Keras and Tensorflow. Side note: Graphviz is not installed in any of the notebooks (this was the case in a previous lab as well) and one needs to install it theirselves using sudo apt install. Another side note: The libraries used in this lab are deprecated as per Keras documentation

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