Use output of one model as input to Tensorflow Neural Network

Asked Aug 02 '22 at 11:09

Active Aug 02 '22 at 11:43

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I have a mixed dataset with categorical features and text features, for categorical features I am using the approach as in image

After the stochastic Gradient Descent classifier I am not able to figure out what is actually being fed to Neural Network. Is it the probabilities or weights. The final outcome is the probability of class, classification problem with 100 classes.

The second question is either there are two inputs fed to NN or the concatenation of the inputs sent as 1 input to NN?

edited Aug 02 '22 at 11:43

desertnaut

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asked Aug 02 '22 at 11:09

Amit Lohani

_stochastic Gradient Descent classifier_ SGD is an optimizers not a classifier... – Alberto Sinigaglia Aug 02 '22 at 12:09
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html please have a look at the link I think it is classifier using SGD as optimizer – Amit Lohani Aug 02 '22 at 12:16

Use output of one model as input to Tensorflow Neural Network

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