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Did you know you can use Keras to train a close approx. of SVM? You can use this to add a "SVM layer" on top of a DL classifier & train the whole thing end-to-end. In practice, I think this is a bad idea. But it's certainly something you *can* do. Code:https://colab.research.google.com/drive/1rObQto2bWMBPy8W555IYHtZKtniRUNDQ …
ML pro tip: learning your features is better than leveraging random kernels.
But in small dataset it can do good job I think isn't it ?
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