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…
Quan Dang·Feb 14, 2025Unofficial Formula to Design Your CNNs (Part 1: Receptive Field)Calculate minimum number of “Convolution and Max-Pooling” blocks needed for a CNN based on its Receptive Field.
PYC·Dec 11, 2023An Alternative Way to Understand Streaming Self-Attention from 1D-ConvolutionTransformer is one of the most powerful architectures in the AI industry nowadays. One of the most important properties of transformers is…
warm lancet·Feb 9, 2022Receptive field of the retinal ganglion cell — something you may confuseIn the past 2 weeks, I’ve devoted most of my time trying to streamline the relationship between the receptive field and on-center /…A response icon1A response icon1
Õie Renata Siimon·Jan 25, 2022Using NLP to read the rat’s mindComputational Neuroscience course study project (University of Tartu)
