In today’s fast and furious world where new techniques and models are being developed every day for the sake of
increasing the efficiency and performance of the neural network, this research conducts an in-depth study about some of the
most popular and important Convolutional neural network models. This paper contains a detailed study and data-rich analysis
of the 5 most popular Convolutional Neural networks (CNNs) for Image Detection and Identification. These 5 CNNs are LeNet,
AlexNet, VGGNet16, ResNet50, and GoogLeNet. The performance of these neural networks is evaluated and benchmarked
using well known and most commonly used Ciphar10 and Ciphar100 datasets. This research aims to make the process of
understanding different neural networks and working with them easy. With rigorous training on the high end and graphics
enabled machine for several months continuously the data and information gathered have been compiled in this research paper
with all the obligatory information required to comprehend
