Fadhil Elrizandaelrizanda.hashnode.dev·Dec 18, 2024Exploring Residual Networks (ResNet): A Breakthrough in Deep LearningOverview The paper “Deep Residual Network for Image Recognition”, authored by aiming He, Xiangyu Zhang, and others in 2015, introduce new CNN-based architecture known as ResNet This paper became one of the breakthrough in the development of deep lear...Computer Vision
Simran Anandsimranblogss.hashnode.dev·Dec 15, 2024Introduction to Diffusion ModelsDiffusion models have emerged as a groundbreaking advancement in AI, offering a fresh approach to generating high-quality synthetic data. These models gained prominence after the success of Generative Adversarial Networks (GANs), which revolutionized...11 likesgen ai
Victor Zrobustramblings.hashnode.dev·Dec 14, 2024Paper summary - Impact of Aliasing on Generalization in Deep Convolutional NetworksTL; DR by carefully selecting where to put aliasing mitigation in a CNN it is possible to limit anti-aliasing information loss. Aliasing negatively impact performances in a way that is not evident from validation loss. Another paper on the effect of ...AI Natural Robustness
Ahmed Razaahmedrazadev.hashnode.dev·Dec 13, 2024Breakthrough in Quantum Computing: Multi-Target Compilation Algorithm UnveiledResearchers from Tohoku University have announced a major advancement in quantum computing through the development of a multi-target quantum compilation algorithm. Led by Dr. Le Bin Ho, the team designed a method that simultaneously optimizes multipl...Science
Fadhil Elrizandaelrizanda.hashnode.dev·Dec 8, 2024Intel Images Classification Using VGG-19Intel image classification is a dataset consist of multiple scene. This dataset have 25,000 images with size 150 × 150 that are labeled for 6 difference categories like buildings, forest, glacier, mountain, sea, and street. The dataset split into 14,...Computer Vision
Victor Zrobustramblings.hashnode.dev·Dec 8, 2024Does anti-aliasing smooth spatial loss surface?The last two posts (1, 2) I published were on the topic of spatial robustness, i.e. the stability of a neural network prediction with respect to small translation and rotation. A curious observation from [1] states that first order adversary seem to ...AI Natural Robustness
Evan O'Brienlabsandprojects.hashnode.dev·Dec 3, 2024Sophisticated SSH server with AI and camera capabilitiesThis project is a combination of multiple camera and computer-vision technologies to form a cohesive demonstration. It is possible to connect via either a CLI shell or Web-based GUI to command an SSH server. This allows for the interaction with a con...AI
Fadhil Elrizandaelrizanda.hashnode.dev·Dec 2, 2024Understanding VGG Models: A Breakthrough in Deep LearningThe Visual Geometry Group (VGG), led by Karen Simoyan & Andrew Zisserman, introduced the groundbreaking concept of very deep convolutional network for large scale image recognition in 2014. This work invetigated how increasing the depth of convolutio...Computer Vision
Victor Zrobustramblings.hashnode.dev·Nov 30, 2024Paper summary - Making Convolutional Networks Shift-Invariant AgainTL; DR Many operations in a typical convolutional neural network down-sample the signal without accounting for aliasing. Aliasing causes frequency content that makes a classifier vulnerable to rotation and translations. Aliasing in CNNs Aliasing is a...AI Natural Robustness
Fadhil Elrizandaelrizanda.hashnode.dev·Nov 30, 2024Build and Understand LeNet 5 Architecture Using TensorFlowMachine learning algorithm especially in computer vision is rapidly developed. In order to achieve the rapidly algorithm development we must learn continuously from the basic. One of the basic is the development by Yann Lecun is LeNet. We will try to...TensorFlow
