Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...

This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD-PROPAGATION ...

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 ...

checkpoints/ml-1m_default/sasrec.onnx checkpoints/ml-1m_default/sasrec.trt (если доступен TensorRT) checkpoints/ml-1m_default/last.ckpt Эти файлы ...

Abstract: The characteristics of recurrent and functional reduction in RNNs (Recurrent Neural Networks) may cause an inefficient execution in conventional hardware such as CPU (Central Processing Unit ...

Abstract: Random neural network (RNN) is an analytically tractable spiked neural network model that has been implemented in software for a wide range of applications for over a decade. This paper ...