A Survey of Convolutional Neural Networks for Image Classification: Models and Datasets

Convolutional Neural Networks (CNN) are a form of feedforward neural network with a deep structure and convolution computations. It is one of the most well-known deep learning algorithms. Convolutional neural networks were first studied in the 1980s and 1990s. After the advent of deep learning theory in the twenty-first century, time delay networks and LeNet-5 were the first convolutional neural networks. Convolutional neural networks have rapidly evolved as numerical computing technology has improved, and they are now utilized in computer vision, natural language processing, and other disciplines. This essay will mostly focus on CNN’s use in image categorization. Many researchers have been researching CNN in recent years, and the CNN model is at its heart, so we'll start there.