Sunny KumarBuilding Blocks of CNNs: Comprehensive Layer Analysis with Formulas and Output DimensionsA Convolutional Neural Network (CNN) is a type of deep learning model commonly used for analyzing visual data. Inspired by the way the…Nov 9
Aditya ModiExtending Low-Rank Adaptation (LoRA) to Convolution LayersExtending LoRA— Part 1 — Challenges & ApproachesOct 14Oct 14
Abhishek JainDetailed understanding about convolution operation in a coloured image with the help of 3D kernelsNow, let’s see how we can do convolutions for color images. Just as we did with grayscale images, we’ll start by choosing a filter of a…Jul 3Jul 3
mdPart VI: Improving the Image Classifier with CNN“Convolutional neural networks (CNNs or ConvNets) are used to perform a multitude of perception tasks for self-driving cars (SDCs)…Oct 3Oct 3
Sunny KumarBuilding Blocks of CNNs: Comprehensive Layer Analysis with Formulas and Output DimensionsA Convolutional Neural Network (CNN) is a type of deep learning model commonly used for analyzing visual data. Inspired by the way the…Nov 9
Aditya ModiExtending Low-Rank Adaptation (LoRA) to Convolution LayersExtending LoRA— Part 1 — Challenges & ApproachesOct 14
Abhishek JainDetailed understanding about convolution operation in a coloured image with the help of 3D kernelsNow, let’s see how we can do convolutions for color images. Just as we did with grayscale images, we’ll start by choosing a filter of a…Jul 3
mdPart VI: Improving the Image Classifier with CNN“Convolutional neural networks (CNNs or ConvNets) are used to perform a multitude of perception tasks for self-driving cars (SDCs)…Oct 3
DhanushKumarMAX POOLINGThe pooling operation involves sliding a two-dimensional filter over each channel of feature map and summarising the features lying within…Nov 29, 20231
Mariam G.2D Image Convolution2D image convolution is like using a magic stencil to look at small parts of an image and create a new one by highlighting certain…Sep 30
