Hands-On Transfer Learning with Python

Deep learning based automated feature extraction

The feature extraction methods for image data and other types discussed so far require a lot of time, effort, and domain understanding. This kind of feature extraction has its merits along with its limitations.

Lately, deep learning, specifically Convolutional Neural Networks (CNNs), have been studied and utilized as automated feature extractors. A CNN is a special case of deep neural networks optimized for image data. At the core of any CNN are convolutional layers, which basically apply sliding filters across the height and width of the image. The dot product of pixel values and these filters results in activation maps that are learned across multiple epochs. At every level, these convolutional ...