Answers.Body: <p>You can use MNIST obviously but I'd also suggest you have a look at UC Irvine's datasets: <a href="https://archive.ics.uci.edu/ml/datasets.php" rel="nofollow noreferrer">https://archive.ics.uci.edu/ml/datasets.php</a><a href="https://i.sstatic.net/t0kpg.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/t0kpg.png" alt="enter image description here"></a></p>
  
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Answers.CreationDate: 2020-04-13T14:29:40.540Z
Answers.LastActivityDate: 2020-04-13T14:29:40.540Z
Answers.UserDisplayName: ted
Answers.Body: <p><em>This answer doesn't provide a declaration as to which dataset(s) are used quasi-ubiquitously in research/literature. It simply provides a frame-of-reference for where to look for structured datasets and examples of two structured datasets that could be used in general.</em></p>
  
  <hr>
  
  <p>You want to look for structured datasets.</p>
  
  <p>Good examples of this are things like housing price datasets.</p>
  
  <p>Check out <a href="https://datasetsearch.research.google.com/" rel="nofollow noreferrer">Google Datasets</a> (specifically the <a href="https://datasetsearch.research.google.com/search?query=kaggle&amp;docid=LsRzIdlgaTTflyQNAAAAAA%3D%3D" rel="nofollow noreferrer">datasets hosted by Kaggle</a>). Many of these are structured data datasets.</p>
  
  <p>As an answer directly though, try a housing price dataset like the <a href="https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html" rel="nofollow noreferrer">Boston Housing Price Dataset</a>.</p>
  
  <p>You could also use the famous <a href="https://www.kaggle.com/c/titanic" rel="nofollow noreferrer">Titanic Dataset on Kaggle</a>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-04-13T21:17:11.343Z
Answers.LastActivityDate: 2020-04-14T16:52:29.630Z
Answers.LastEditDate: 2020-04-14T16:52:29.630Z
Answers.UserDisplayName: Darien Schettler
Body: <p>I am looking for datasets that are used as a testing standard in the fully connected neural networks (FCNN). For example, in the image recognition and CNN, CIFAR datasets are used in most of the papers, but can't find anything like that for the FCNN. </p>
  
Tags: <neural-networks><datasets><feedforward-neural-networks><multilayer-perceptrons>
Title: What are standard datasets for fully connected neural networks?
UserDisplayName: Daniel Wiczew
ThreadText: # What are standard datasets for fully connected neural networks?
  
  (Asked by: username_0 on 2020-04-12)
  
  I am looking for datasets that are used as a testing standard in the fully connected neural networks (FCNN). For example, in the image recognition and CNN, CIFAR datasets are used in most of the papers, but can't find anything like that for the FCNN.
  
  **Tags:** neural-networks, datasets, feedforward-neural-networks, multilayer-perceptrons
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2020-04-13. Score: 1
  
  You can use MNIST obviously but I'd also suggest you have a look at UC Irvine's datasets: <https://archive.ics.uci.edu/ml/datasets.php>[![enter image description here](https://i.sstatic.net/t0kpg.png)](https://i.sstatic.net/t0kpg.png)
  
  
  ---
  
  ### Answer by username_2 on 2020-04-13. Score: 1
  
  *This answer doesn't provide a declaration as to which dataset(s) are used quasi-ubiquitously in research/literature. It simply provides a frame-of-reference for where to look for structured datasets and examples of two structured datasets that could be used in general.*
  
  ---
  
  You want to look for structured datasets.
  
  Good examples of this are things like housing price datasets.
  
  Check out [Google Datasets](https://datasetsearch.research.google.com/) (specifically the [datasets hosted by Kaggle](https://datasetsearch.research.google.com/search?query=kaggle&docid=LsRzIdlgaTTflyQNAAAAAA%3D%3D)). Many of these are structured data datasets.
  
  As an answer directly though, try a housing price dataset like the [Boston Housing Price Dataset](https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html).
  
  You could also use the famous [Titanic Dataset on Kaggle](https://www.kaggle.com/c/titanic).
  
  
  ---
  
  