On the Behavior of Convolutional Nets for Feature Extraction
On the Behavior of Convolutional Nets for Feature Extraction
Deep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine learning. Extracting the descriptive language coded within a trained CNN model (in the case of image data), and reusing it for other purposes is …