There are many convolutional neural network (CNN) architectures. Those architectures differ in how the layers are structured, the elements used in each layer, and how they are designed. This affects the speed and the accuracy of the model which will help to perform various tasks.

The following are some of the common CNN architectures. The word “common” is referring to pre-trained weights which are fine-tuned by deep learning libraries such as Keras, TensorFlow, Fastai, and so on (Karim, 2019).