In this series of a three-part blogs ("A Historical but Still Technically Basic Look at CNNs") we are going to discuss briefly about some historical development (but still with some basic level of technicality)  of Convolutional Neural Networks (CNNs), the most widely utilized deep learning network for image-related AI tasks, starting from LeNet but branching out to popular established models such as AlexNet, VGG16/VGG19, InceptionNet, GoogLeNet and ResNet. We will not discuss models utilizing encoder and decoder blocks, instead delegating it to future blog post series.  In this third and final blog post of the series we will delve into Residual Network (ResNet), Inverted Residual Network (Invered ResNet), and a few more related models such as the MobileNet and the EfficientNet.

(Stay tune for updates!)