🎁 A holiday package to celebrate the season! Click here and shop now!

TextRanch

The best way to perfect your writing.

Discover why 1,062,726 users count on TextRanch to get their English corrected!

1. Input your text below.
2. Get it corrected in a few minutes by our editors.
3. Improve your English!

One of our experts will correct your English.

Our experts

The neural network training vs The neural network training can be

Both phrases are correct, but they serve different purposes. "The neural network training" is a noun phrase that describes the process of training a neural network. On the other hand, "the neural network training can be" is a sentence fragment that introduces a possibility or capability related to the training process.

Last updated: March 17, 2024 • 572 views

The neural network training

This phrase is correct as a noun phrase describing the process of training a neural network.

This phrase is used to refer to the specific activity of training a neural network.

Examples:

  • The neural network training took several weeks to complete.
  • Understanding the neural network training process is crucial for improving performance.
  • I am responsible for overseeing the neural network training in our research project.
  • ... stop a parallel training session (started with the 'UseParallel' parameter) even though the Neural Network Training Tool is not available during parallel training  ...
  • Training launches the neural network training window. To open the performance and training state plots, click the plot buttons. After training, you can simulate ...
  • To explain why resampling and ensembles are so useful, it is helpful to formulate the neural network training process in statistical terms (Bishop, 1995).
  • The random initialization of network weights prior to each execution of the neural network training algorithm can in some cases cause final classification results ...

Alternatives:

  • the training of the neural network
  • training the neural network
  • neural network training process
  • the process of training a neural network
  • training a neural network

The neural network training can be

This phrase is correct as a sentence fragment introducing a possibility or capability related to the training process.

This phrase is used to suggest that there are different ways or options for the neural network training.

Examples:

  • The neural network training can be optimized for faster convergence.
  • Different techniques can be applied to improve the neural network training.
  • The neural network training can be challenging but rewarding.
  • The neural network training can be formulated as a nonlinear unconstrained optimization problem. So the training process can be realized by minimizing the ...
  • The neural network training can be made more efficient if certain preprocessing steps on the network inputs and targets are performed. The normalization of the ...
  • Nov 10, 2014 ... The neural network training can be made more efficient if certain preprocessing steps on the network inputs and targets are performed.
  • ABSTRACT The prediction of chaotic time series with neural networks is a traditional practical problem of dynamic systems. This paper is not intended for ...

Alternatives:

  • the neural network training could be
  • the neural network training may be
  • the neural network training might be
  • the neural network training is
  • the neural network training will be

Related Comparisons

What Our Customers Are Saying

Our customers love us! We have an average rating of 4.79 stars based on 283,125 votes.
Also check out our 2,100+ reviews on TrustPilot (4.9TextRanch on TrustPilot).

Why choose TextRanch?

Lowest prices
Up to 50% lower than other online editing sites.

Fastest Times
Our team of editors is working for you 24/7.

Qualified Editors
Native English experts for UK or US English.

Top Customer Service
We are here to help. Satisfaction guaranteed!

×

💝 TextRanch Holidays Offer! 💝️

25% special discount
Stock up on credits for the entire year!

Grab this offer now!