neural network modelling processes vs The entire modelling process

Both phrases are correct, but they are used in different contexts. 'Neural network modelling processes' refers specifically to the processes involved in modelling using neural networks, while 'the entire modelling process' is a more general term referring to the complete process of modelling, which may or may not involve neural networks.

Last updated: March 17, 2024

neural network modelling processes

This phrase is correct and commonly used in the context of describing the processes involved in modelling using neural networks.

This phrase is used to refer to the specific processes involved in modelling using neural networks, such as data preprocessing, model training, and evaluation.

Examples:

Understanding neural network modelling processes is essential for developing accurate models.
The course covers various neural network modelling processes, including backpropagation and optimization techniques.

Alternatives:

neural network modeling techniques
neural network modeling methods
neural network modeling approaches
neural network modeling strategies
neural network modeling procedures

The entire modelling process

This phrase is correct and commonly used to refer to the complete process of modeling, regardless of the specific techniques or methods used.

This phrase is more general and can refer to the overall process of modeling, which may involve various techniques and approaches, including neural networks.

Examples:

Understanding the entire modeling process is crucial for developing accurate models.
The book provides a comprehensive overview of the entire modeling process, from data collection to model deployment.

Alternatives:

the complete modeling process
the whole modeling process
the full modeling process
the total modeling process
the overall modeling process

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neural network modelling processes vs The entire modelling process