<p>In the context of research papers related to deep learning models, the authors usually mention these terms in the experiment section when they are talking about the model: <strong>configuration</strong>, <strong>setup</strong>. For example: <a href="https://aclanthology.org/C18-1139.pdf" rel="nofollow noreferrer">Akbik et al. 2018</a>.</p>
<p>For example:</p>
<ol>
<li><p>&quot;We utilize the BiLSTM-CRF sequence labeling architecture proposed by Huang et. al (2015) in all <strong>configurations</strong> of our comparative evaluation.&quot;</p>
</li>
<li><p>&quot;Baselines. We also evaluate <strong>setups</strong> that involve only previous word embeddings.&quot;</p>
</li>
</ol>
<p>What is the difference between the terms? Is the model architecture the same with different hyperparameters?</p>
<p>Thank you in advance.</p>

CC BY-SA 4.0
2021-07-07T09:33:07.800Z
Using the search tool of my browser, I cannot find any of those terms in the paper that you're mentioning, so maybe you should explain more in detail in which section and/or page those terms can be found.
nbro
CC BY-SA 4.0
2021-07-07T10:54:08.653Z
@nbro could you check the question now? I added two examples
Ahmad
<deep-learning><terminology><sequence-modeling>
What is the difference between model setup, model configuration, and model customization?
Ahmad
# What is the difference between model setup, model configuration, and model customization?

(Asked by: username_0 on 2021-07-07)

In the context of research papers related to deep learning models, the authors usually mention these terms in the experiment section when they are talking about the model: **configuration**, **setup**. For example: [Akbik et al. 2018](https://aclanthology.org/C18-1139.pdf).

For example:

1. "We utilize the BiLSTM-CRF sequence labeling architecture proposed by Huang et. al (2015) in all **configurations** of our comparative evaluation."
2. "Baselines. We also evaluate **setups** that involve only previous word embeddings."

What is the difference between the terms? Is the model architecture the same with different hyperparameters?

Thank you in advance.

**Tags:** deep-learning, terminology, sequence-modeling

> **Comments:**
> **username_1**: Using the search tool of my browser, I cannot find any of those terms in the paper that you're mentioning, so maybe you should explain more in detail in which section and/or page those terms can be found.  
> **username_0**: @username_1 could you check the question now? I added two examples  

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## 0 answers

