1.0Data Science made in Switzerlandhttps://blog.zhaw.ch/datasciencemildhttps://blog.zhaw.ch/datascience/author/mild/Deep learning for lazybonesrich600338<blockquote class="wp-embedded-content" data-secret="WM5UBtFjcx"><a href="https://blog.zhaw.ch/datascience/deep-learning-for-lazybones/">Deep learning for lazybones</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://blog.zhaw.ch/datascience/deep-learning-for-lazybones/embed/#?secret=WM5UBtFjcx" width="600" height="338" title="“Deep learning for lazybones” — Data Science made in Switzerland" data-secret="WM5UBtFjcx" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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By Oliver Dürr (ZHAW) Reposted from http://oduerr.github.io/blog/2016/04/06/Deep-Learning_for_lazybones In this blog I explore the possibility to use a trained CNN on one image dataset (ILSVRC) as feature extractor for another image dataset (CIFAR-10). The code using TensorFlow can be found at github.http://oduerr.github.io/imgs/dl_lazybones/cifar_examples.jpg