Convolutional Neural Networks (CNNs) Tutorial with Python

A CNN is a particular kind of multi-layer neural network [2] to process data with an apparent, grid-like topology. The base of its network bases on a mathematical operation called convolution. Fundamentally, machine learning algorithms use matrix multiplication, but in contrast, CNNs use convolutions in place of matrix multiplications at least in one layer -- a convolution is a specialized kind of linear operation. Convolutional neural networks (CNNs) are undoubtedly the most popular deep learning architecture. Their applications are everywhere, including image and video recognition, image analysis, recommendation systems, natural language processing, computing interfaces, financial time-series, and several others [3].