Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Pixel_CNN
|
| gptkbp:analyzes |
data science projects
confusion matrix |
| gptkbp:challenges |
certain algorithms
|
| gptkbp:contains |
60,000 training images
handwritten digits 10,000 testing images |
| gptkbp:has_transformation |
data augmentation techniques
|
| https://www.w3.org/2000/01/rdf-schema#label |
MNIST Dataset
|
| gptkbp:is_accessible_by |
online repositories
|
| gptkbp:is_analyzed_in |
statistical methods
|
| gptkbp:is_associated_with |
gptkb:Graphics_Processing_Unit
gptkb:Keras gptkb:Py_Torch |
| gptkbp:is_available_in |
public domain
|
| gptkbp:is_cited_in |
numerous academic papers
|
| gptkbp:is_compared_to |
other datasets
|
| gptkbp:is_considered_as |
a standard dataset
|
| gptkbp:is_divided_into |
training and testing sets
|
| gptkbp:is_documented_in |
tutorials
|
| gptkbp:is_evaluated_by |
accuracy metrics
cross-validation |
| gptkbp:is_explored_in |
machine learning courses
|
| gptkbp:is_implemented_in |
various programming languages
|
| gptkbp:is_part_of |
deep learning benchmarks
|
| gptkbp:is_popular_in |
computer vision
|
| gptkbp:is_referenced_in |
tutorials on neural networks
|
| gptkbp:is_related_to |
convolutional neural networks
|
| gptkbp:is_represented_in |
28x28 pixel images
|
| gptkbp:is_supported_by |
community contributions
|
| gptkbp:is_used_by |
gptkb:physicist
|
| gptkbp:is_used_for |
gptkb:software_framework
image classification |
| gptkbp:is_used_in |
competitions
|
| gptkbp:is_utilized_in |
gptkb:University
gptkb:software gptkb:Educational_Institution universities enthusiasts government agencies professionals workshops conferences data scientists educational purposes hobbyists meetups online courses online platforms open-source projects research institutions startups webinars hackathons tech companies non-profits self-learners symposiums AI practitioners bootcamps |
| gptkbp:label |
digit labels
|
| gptkbp:origin |
gptkb:NIST
|
| gptkbp:performance |
digit recognition algorithms
|
| gptkbp:preceded_by |
normalization techniques
|