marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...
IEEE

MR-Transformer: FPGA Accelerated Deep Learning Attention Model for Modulation Recognition

Modulation recognition has emerged as an intensive research topic to improve the communication efficiency in the future 6G network and plays an important role in the security of electromagnetic ...
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 ...
Hosted on MSN

DenseNet Architecture Explained | Beginner’s Deep Learning Tutorial

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
GitHub

AWS F2 FPGA instance tutorial is broken

I have some Verilog that I want to run on an Amazon F2 FPGA instance. I got an m4.2xlarge instance in us-east-1 and installed this AMI: FPGA Developer AMI (Ubuntu) - 1.17.0 -prod-rhng4b6alkhdq ...
insideHPC

ZTE Wireless Institute Achieves Performance Breakthrough for Deep Learning with Intel FPGAs

Intel and ZTE, a leading technology telecommunications equipment and systems company, have worked together to reach a new benchmark in deep learning and convolutional neural networks (CNN). The ...