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between the inputs and targets vs between inputs and targets

Both phrases are correct, but they are used in slightly different contexts. 'Between the inputs and targets' is more formal and emphasizes the specific inputs and targets being referred to. 'Between inputs and targets' is more concise and commonly used in everyday language.

Last updated: March 17, 2024 • 524 views

between the inputs and targets

This phrase is correct but more formal and emphasizes the specific inputs and targets being referred to.

This phrase is appropriate when you want to emphasize the specific inputs and targets being discussed. It is more formal and precise.

Examples:

  • The relationship between the inputs and targets is crucial for the success of the project.
  • Jul 17, 2015 ... If there is a one-to-many relationship between the inputs and targets in the training data, then it is not possible for any mapping to perform ...
  • Figure 2 illustrates fit neural network structure. The next step is to create a network and train it until it has learned the relationship between the inputs and targets.
  • ation between the inputs and targets. Finally, we showed that the delta rule carries out the equivalent of a multiple linear regression from the input patterns to the ...
  • established between the inputs and targets. There are 6 targets and the inputs are the lagged values of the targets. Initially all targets are in a single node.

Alternatives:

  • between inputs and targets

between inputs and targets

This phrase is correct and commonly used in everyday language.

This phrase is suitable for general discussions where the emphasis is on the relationship between any inputs and targets without specifying them.

Examples:

  • There is a clear connection between inputs and targets in this process.
  • relationships between inputs and targets. Rules can be selected and used to display the decision tree, which provides a means to visually examine and describe ...
  • Jun 3, 2015 ... cf. direct association between inputs and targets in supervised learning. ▻ independence between samples. – sequences of highly correlated ...
  • Dec 19, 2013 ... association between inputs and targets found in supervised learning. Another issue is that most deep learning algorithms assume the data ...
  • The gap illustrated between inputs and targets is for ease of reading only. For Recurrent Neural Networks, it is possible to break up the sequence of patterns into ...

Alternatives:

  • between the inputs and targets

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