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The neural network training is an vs The neural network training is

Both phrases are incomplete and do not make complete sense on their own. The first phrase seems to be missing a word at the end, while the second phrase lacks a predicate to complete the sentence. They are not directly comparable as they are different types of incomplete constructions.

Last updated: March 17, 2024 • 436 views

The neural network training is an

This phrase is incorrect as it lacks a complete predicate or context. It seems to be missing a word at the end.

This phrase needs to be completed with a suitable word or phrase to make sense. For example, 'the neural network training is an essential part of the process.'

Show examples from the web [+]

is no consensus on which activation function should. The neural network training is an unconstrained be used for output nodes. Following the convention,.
The neural network training is an unconstrained nonlinear minimization problem in which arc weights of a network are iteratively modified to minimize the overall ...
The neural network training is an art. Many searchers and practitioners have worked in the field to work towards successful prediction and classification. A.
Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous surge in research activities in the past decade. While ANNs provide a ...

The neural network training is

This phrase is also incorrect as it lacks a predicate to complete the sentence. It needs to be followed by a description or action to make sense.

To make this phrase correct, you could add a description or action after 'is,' such as 'the neural network training is challenging.'

Show examples from the web [+]

ABSTRACT Neural networks recently gained attention as fast and flexible vehicles to microwave modeling, simulation, and optimization. After learning and ...
After the Neural Network training is finished, the system will prompt to grid and save the classification and the match grids to a 3D horizon. Select or create a 3D ...
In this paper, a faster supervised algorithm (BPfast) for the neural network training is proposed that maximizes the derivative of sigmoid activation function during ...
minimum of the error surface, the neural network training is essentially an exploration of the error surface for an optimal set of parameters that attain this global ...

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