Deep Learning (Article)

Auto Added by WPeMatico

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

#General, Artificial Intelligence, arXiv, D. Learning, Deep Learning (Article), Educación | 🇬🇧 Education, English, English (Articles), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Laboratory, Medium, news, Not numbered, Open Access

CNN Explainer tightly integrates a model overview that summarizes a CNN’s structure, and on-demand, dynamic visual explanation views that help users understand the underlying components of CNNs. Through smooth transitions across levels of abstraction, our tool enables users to inspect the interplay between low-level mathematical operations and high-level model structures.

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization Read More »

Do Vision Transformers See Like Convolutional Neural Networks?

#ArtificialReality, Artificial Intelligence, arXiv, Creative Commons, D. Learning, Deep Learning (Article), English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Machine Learning (Paper), news, Numbered, Open Access, Papers, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Research

Convolutional neural networks (CNNs) have so far been the de-facto model for visual data. Recent work has shown that (Vision) Transformer models (ViT) can achieve comparable or even superior performance on image classification tasks. This raises a central question: how are Vision Transformers solving these tasks? Are they acting like convolutional networks, or learning entirely

Do Vision Transformers See Like Convolutional Neural Networks? Read More »

labml.ai Deep Learning Paper Implementations

#Programmer, Artificial Intelligence, D. Learning, Deep Learning (Article), Deep Learning (Tutorial), Educación | 🇬🇧 Education, English (Articles), English (Tutorial), Formación | 🇬🇧 Training, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, MIT, news, Normal, Not numbered, Open Access, Research, Tutorials

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, and the website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.

labml.ai Deep Learning Paper Implementations Read More »