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for inclusion into the model vs for inclusion into the neural network

Both phrases are correct, but they are used in different contexts. 'For inclusion into the model' is a more general way of referring to adding something to a model, while 'for inclusion into the neural network' specifies that the addition is specifically to a neural network.

Last updated: March 17, 2024 • 558 views

for inclusion into the model

This phrase is correct and commonly used in the context of adding elements to a model.

This phrase is used when referring to adding components, data, or features to a model for analysis or processing.
  • Online registration and payment were the two other elements that did not meet the criteria for inclusion into the model and were removed. The panel members ...
  • Aug 17, 2005 ... Selection of variables for inclusion into the model used different complementary strategies. For cross-validation, the model-building procedure ...
  • Appends a module for inclusion into the model class after Resource. . descendants ⇒ DescendantSet. Return all models that extend the Model module .
  • Meaning, when specifying the variable for inclusion into the model, you notice above in the second figure (Logistic Regression dialog box) we could have ...

Alternatives:

  • for addition to the model
  • for incorporation into the model
  • for integration into the model
  • for inclusion in the model
  • for adding to the model

for inclusion into the neural network

This phrase is correct and commonly used when specifically referring to adding elements to a neural network.

This phrase is used when specifying the addition of components, data, or features to a neural network for processing or learning.

Alternatives:

  • for addition to the neural network
  • for incorporation into the neural network
  • for integration into the neural network
  • for inclusion in the neural network
  • for adding to the neural network

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