Explore tweets tagged as #Convolution
#buildinpublic.Today, I dove deep into Convolutional Neural Networks (CNNs).Convolution & Filters✅️.Padding & Stride✅️.Pooling Layers✅️.Also started a simple Computer Vision side project: building a hand cursor to drag objects on screen. #buildinpublic #ComputerVision
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Impossible for anyone to match the aura of professor bryce. When it comes to explaining Convolution layers, there's no one in the world who comes even close to him. He's one of the hidden gems of YouTube. Below 👇🏻 link in comments.
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last year, i gave a talk on how convolutions generalise to graphs, and the math behind it. (spolier: its really pretty).i talk about:.- permutation invariace.- graph laplacian.- polynomial graph filters.- message passing. this is a nice intro to gnns from a mathematical
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今作っている Wholebody34 の onnx の注視領域を可視化する Convolution の中間出力を特定できた。Claude Code を使うと秒でできたな。かなりちゃんと関節が活性化している。.model.35_cv3_cv3.0_cv1_conv_Conv_output_0
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Day 1952 - Quantum dilated - 1626405642 #procedural #proceduralart #generativeart #generativedesign #generative #abstract #abstractart #convolution #machinestyle
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Signals & Systems is mind-bending—using Oppenheim’s text to understand why convolution feels like a moving filter. Just simulate CT and DT LTI responses—DSP is basically algebra with time!7 🥲 😖.0
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@DBurkland Interestingly enough Meta once poached the chip team from Google that made the convolution engine. Then Meta shutdown the chip team. This was the paper from one of the chip team members back in 2013. Quite remarkable.
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"Meat Tower" by GMDDron has been placed at #3 following its verification by Crerro, a grind that took over a month and more than 45K attempts! This level pushes "CONVOLUTION", the current hardest rated level, out of the top 5.
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Esoteric Electra Complex enveloped in labyrinthine convolution complimented by indelibly primitive CGI and abstract rape.
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🚨Paper Alert 🚨. ➡️Paper Title: Exploring Diffusion Transformer Designs via Grafting. 🌟Few pointers from the paper. 🎯Designing model architectures requires decisions such as selecting operators (e.g., attention, convolution) and configurations (e.g., depth, width). 🎯However,
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EHCube4P: Learning Epistatic Patterns Through Hypercube Graph Convolution Neural Network for Protein Fitness Function Estimation. １．This study introduces EHCube4P, a graph-based deep learning framework that predicts protein fitness by modeling sequence space as a hypercube and
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Accelerating Transposed Convolutions on FPGA-based Edge Devices. Jude Haris, José Cano. Abstract:.Transposed Convolutions (TCONV) enable the up-scaling mechanism within generative Artificial Intelligence (AI) models. However, the predominant
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Convolution Neural Networks. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode .
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Machine Learning Interview Question: 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐂𝐨𝐧𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧?.📖 Article Link: In computer vision tasks, convolution allows models to extract local patterns such as edges, textures, and object shapes by sliding filters over data. It powers
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Convolution Neural Networks - Stanford University. This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. Link in comments 😎
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#LSPPDay40 . Today i studied the working of Convolution neural network.@lftechnology.#60DaysOfLearning2025 .#LearningWithLeapfrog
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🖼️🖼️ Optimization of #RemoteSensing #Image- #Segmentation Decoder Based on Multi-Dilation and Large-Kernel #Convolution. ✍️ Guohong Liu et al. 🔗
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🖼️🖼️ A Renovated Framework of a #Convolution #NeuralNetwork with Transformer for Detecting #Surface Changes from #HighResolution Remote-Sensing #Images. ✍️ Shunyu Yao et al. 🔗
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