pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Abstract page for arXiv paper 1909.13144: Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks
Home Page Papers Submissions Editorial Board Special Issues Open Source Software Proceedings (PMLR) Data (DMLR) Transactions (TMLR) Search Statistics Login Frequently Asked Questions Contact Us PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks Xiyue Zhang, Benjie Wang, Marta Kwiatkowska, Huan Zhang; 26(133):1−44, 2025. Abstract Most methods for neural network verification focus on bounding the image, i.e., set of outputs for a given input set. This can be used to, for example, check
When temperatures are rising, ant colonies need to make collective decisions. While each ant feels the heat rising beneath its feet, they carry along as usual, until they…
Difference Between Deep Learning and Neural Network
I started working on this package around 6-7 months ago to solve a practical problem I kept running into: repeatedly writing the same torch::nn_module() boilerplate for similar neural network architecture components when&hellip
Neural network training is the process of iteratively adjusting a neural network’s parameters using optimization algorithms and loss functions so the model
Explore the legacy of neural network research and discover how the science of visual pattern recognition informs the curation of restorative fine art
People use neural networks for translating languages, recommending movies, delivering ads, and more, but this here is one of my favorite applications: utter surrealism. Last year I trained a neural network on 4,500 Halloween costumes that you readers helped me collect. This year, I
- Mathematical Foundation - Convolution Operation - Feature Map Computation - CNN Architecture Components - Pooling Operation - Receptive Field - Financial Services Example: Check Fraud Detection - Retail Example: Visual Product Search and Quality Control - Visual Product Search System - Quality Control System - Advanced CNN Techniques - Transfer Learning - Data Augmentation - Performance Optimization - Batch Normalization - Depthwise Separable Convolutions Convolutional Neural Networks # Convolutional Ne