On the Architecture of Convolutional Neural Networks—A Primer

CNNs emerged from study of the brain’s visual cortex. The most common use of CNNs is simply to analyze and classify visual imagery, with advances in their technology creating the foundation of modern computer vision. The architecture of the process revolves around inputting imagery, using a series of filtering methods for feature learning, and summarizing the learned attributes in to a dense matrix, which is used for further applications. Let’s get into the steps of primary processing for this technology…