Analytics Insight

Best PyTorch Courses to Learn Deep Learning in 2026

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both ...
GitHub

GitHub - yanqianxuan/pytorch-image-classification-basics: Image classification with PyTorch. Fork from hysts/pytorch_image_classification · GitHub

Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...
GitHub

Summerxlfw/pytorch-image-models-endoscopic

Factor non-persistent param init out of __init__ into a common method that can be externally called via init_non_persistent_buffers() after meta-device init. Add set_input_size() method to EVA models, ...
Hosted on MSN

Network in Network (NiN) Explained – Deep Neural Network Tutorial with PyTorch

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
IEEE

A Two-Stage Feature Selection Method for Hyperspectral Image Classification: Hybrid Filter Preprocessing and Improved Dwarf Mongoose Optimization

Abstract: Hyperspectral image classification is the foundation of numerous hyperspectral image applications, but its inherent data characteristics such as high-dimensional feature space and ...
IEEE

A Large-Size Remote Sensing Image Classification Network Considering Spatial Adjacency Information

Abstract: High spatial resolution (HSR) image scene classification is currently a research hotspot, aiming to assign semantic labels based on visual information. However, many scene classification ...