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en/drafts/originals/image-classification-neural-networks.md

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 ---
-title: Creating Deep Convolutional Neural Networks for Image Classification
+title: "Creating Deep Convolutional Neural Networks for Image Classification"
 collection: lessons
 layout: lesson
 slug: image-classification-neural-networks
-date: "2022-01-21"
+date: 2022-MM-DD
 authors:
 - Nabeel Siddiqui
 reviewers: 
 - Fabian Offert
 - Melvin Wevers
 editors:
 - Scott Kleinman
-translator:
 review-ticket: https://github.com/programminghistorian/ph-submissions/issues/414
 difficulty: 2
 activity: analyzing
-topics: machine-learning
+topics: [machine-learning]
 abstract: "This tutorial provides a beginner-friendly introduction to convolutional neural networks (CNNs) for image classification. The tutorial provides a conceptual understanding of how neural networks work by using Google's Teachable Machine to train a model on paintings from the ArtUK database. The tutorial also demonstrates how to use Javascript to embed the model in a live website."
-
+avatar_alt: tbc
+doi: tbc
 ---
 
 {% include toc.html %}