Prabin NepalText SummarizationText summarization is one of the Natural Language Processing (NLP) tasks where documents/texts are shortened automatically while holding…Oct 16, 2022Oct 16, 2022
Prabin NepalinAnalytics VidhyaIllustrated Vision TransformersVision TransformersJul 27, 2021Jul 27, 2021
Prabin NepalinAnalytics VidhyaDeep Residual Learning for Image Recognition (ResNet paper explained)Deep Neural Networks tend to provide more accuracy as the number of layers increases. But, as we go deeper into the network, the accuracy…Jan 1, 2021Jan 1, 2021
Prabin NepalinAnalytics VidhyaSelf-supervised LearningI have been exploring self-supervised learning and been through papers and blogs to understand it. Self-supervised learning is considered…Dec 8, 2020Dec 8, 2020
Prabin NepalinAnalytics VidhyaDeep Convolutional Generative Adversarial Networks (DCGANs)Architectural Details for DCGANAug 15, 2020Aug 15, 2020
Prabin NepalinAnalytics VidhyaVGGNet Architecture ExplainedVGGNet is a Convolutional Neural Network architecture proposed by Karen Simonyan and Andrew Zisserman of University of Oxford in 2014…Jul 30, 20201Jul 30, 20201
Prabin NepalinAnalytics VidhyaAlexNet Architecture ExplainedAlexNet famously won the 2012 ImageNet LSVRC-2012 competition by a large margin (15.3% vs 26.2%(second place) error rates). Here is the…Jul 30, 2020Jul 30, 2020
Prabin NepalinAnalytics VidhyaPaper Explanation: Going deeper with Convolutions (GoogLeNet) — The AI BlogGoogle proposed a deep Convolution Neural Network named inception that achieved top results for classification and detection in ILSVRC…Jun 5, 2020Jun 5, 2020