Padding in Neural Networks: Why and How?
In the world of neural networks, padding refers to the process of adding extra values, usually zeros, around the edges of a data matrix. This technique is commonly used in convolutional neural networks (CNNs), which are widely used in computer vision and image processing tasks. …
Padding in Neural Networks: Why and How? In the world of neural networks, padding refers to the process of adding extra values, usually zeros, around the edges of a data matrix. This technique is commonly used in convolutional neural networks (CNNs), which are widely used in computer vision and image processing tasks. … deep-learning
Padding Neural Networks world neural network padding refers process adding extra value usually zero around edge data matrix technique commonly used convolutional neural network CNNs widely used computer vision image processing task … deeplearning