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Network in Network (NiN) Deep Neural Network Explained 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 ...
GitHub

Mrytn/l-PyTorch-Tutorial-2nd

时隔5年，历时4年，耗时2年的《PyTorch实用教程》（第二版）完成了。在第一版的精华之上 ...
Scientific Research Publishing

Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., et al. (2019) PyTorch: An Imperative Style, High-Performance Deep Learning Library.

ABSTRACT: Cloud detection is a critical preprocessing step in remote sensing image processing, as the presence of clouds significantly affects the accuracy of remote sensing data and limits its ...
GitHub

[BUG] Recurrent DQN example is broken

The tutorial at https://github.com/pytorch/rl/blob/main/tutorials/sphinx-tutorials/dqn_with_rnn.py produces an error when run. Steps to reproduce the behavior. Please ...
IEEE

Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR – Hands-on Tutorial on N3C

Abstract: Pytorch_EHR is a codebase enabling fast prototyping of deep learning-based predictive models using electronic health records structured data. Rather than a collection of vertical pipelines ...