<p>Yes, this has already been done and well documented in several research papers, like <a href="http://arxiv.org/abs/1403.6382" rel="nofollow">CNN Features off-the-shelf: an Astounding Baseline for Recognition</a> and <a href="https://arxiv.org/abs/1411.1792" rel="nofollow">How transferable are features in deep neural networks?</a>. Both show that using CNN features trained on one dataset, but tested on a different one usually perform very well or beat the state of the art.</p>

<p>In general you can take the features from the layer before the last, normalize them and use them with another classifier.</p>

<p>Another related technique is fine tuning, where after training a network, the last layer is replaced and retrained, but previous layers' weights are kept fixed.</p>
Feature Extraction from Convolutional Neural Network (CNN) and use this feature to other classification algorithm
<p>My question is can we use CNN for feature extraction and then can we use this extracted feature as an input to another classification algorithm like SVM.</p>

<p>Thanks</p>