159 - Convolutional filters + Random Forest for image segmentation.

Deep learning is far superior to traditional machine learning with loads of training data. But, for limited training data traditional machine learning (e.g. Random Forest or SVM) may outperform deep learning. For image processing applications features need to be extracted / engineered for improved accuracy. Alternatively, features can be extracted from convolutional filters that are part of convolutional neural networks. This video goes through the process of extracting features using convolutional filter