Bansi Dath·Jan 15DilatedConvBlock: When Convolutions Learn to BreatheIf you’ve spent any time reading deep learning papers, you’ve probably seen dilated convolutions casually dropped in like everyone…
Quan Dang·Dec 10, 2025Unofficial Formula to Design Your CNNs (Part 2: Importance of Pooling)Calculate the minimum number of “Convolution and Max-Pooling” blocks needed for a CNN based on its Receptive Field.
Ahmadreza Baqerzadeh·Sep 10, 2025A Deep Dive into Receptive Field: From Theory to Practical ApplicationIn the field of computer vision, Receptive Field is one of the most crucial concepts. It plays a significant role in the learning process…
Sanketh Karuturi·Apr 4, 2025Introduction to CNN(Convolutional Neural Networks)Convolutional Neural Networks (CNNs) are a cornerstone of modern deep learning, especially for tasks involving images or any form of data…
