Guide to Different Padding Methods for CNN Models

Padding basically extends the area of an image/data in which a convolutional neural network processes for different purposes.

Understand the architecture of CNN, by Kousai Smeda

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data

Computation, Free Full-Text

Convolutional Neural Networks: Architectures, Types & Examples

Keras Cheat Sheet: Neural Networks in Python

conv neural network - Convolutional Layers: To pad or not to pad? - Cross Validated

R-CNN Region Based CNNs - GeeksforGeeks

Convolutional Neural Networks in Python

Convolutional Neural Networks (CNNs): An Illustrated Explanation - XRDSXRDS

Best deep CNN architectures and their principles: from AlexNet to EfficientNet

A Beginner's Guide To Understanding Convolutional Neural Networks Part 2 – Adit Deshpande – Engineering at Forward

Convolutional Neural Networks: Diving into the theory of CNNs, by Yusuf Matur

Convolutional Neural Networks with PyTorch

Implementing and Tracking the Performance of a CNN in PyTorch