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CNN / Transfer Learning Example

version (6.15 KB) by Eiji Ota
Classify two similar flowers, "Dandelion" and "Colt's Foot" using CNN


Updated 06 Aug 2018

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Usually training CNN costs us a lot of time and GPU cycles. One key technique to avoid this type of cost is "transfer learning". This example shows how we can try "transfer learning" using MATLAB. We combine pretrained model (alex net) and SVM to classify two similar flowers, "Dandelion" and "Colt's Foot".
通常CNNの学習には膨大な計算時間と計算コストがかかります。こうしたコストを避けるひとつの方法に転移学習と呼ばれる方法があります。このサンプルでは、よく似た2種類の花、タンポポとフキタンポポを学習済みのモデル(Alex Net)と SVM を組み合わせて見分けます。

Cite As

Eiji Ota (2022). CNN / Transfer Learning Example (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
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