GitHub

Feedback about NLP From Scratch: Classifying Names with a Character-Level RNN

I think that comment "#Cache the tensor representation of the labels" is a little confusing, especially for those who are just learning PyTorch, because you are just creating numerical representation ...
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 ...
blockchain

PyTorch for Deep Learning Professional Certificate: Definitive AI Training Program for Building Modern Neural Networks

According to Andrew Ng (@AndrewYNg), DeepLearning.AI has launched the PyTorch for Deep Learning Professional Certificate taught by Laurence Moroney (@lmoroney). This three-course program covers core ...
Hosted on MSN

Inception Net V1 Explained – Step-by-Step PyTorch Tutorial

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...
Scientific Research Publishing

Seabrook, E. and Wiskott, L. (2023) A Tutorial on the Spectral Theory of Markov Chains. Neural Computation, 35, 1713-1796.

ABSTRACT: An algorithm is being developed to conduct a computational experiment to study the dynamics of random processes in an asymmetric Markov chain with eight discrete states and continuous time.
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 ...
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 ...