Deep Learning with Yacine 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 ...

Best Free AI Training Courses You Can Start in November 2025

Browse the full catalog at your leisure, and start learning from the best today. Another big training vendor that will let ...
IEEE

AI-Assisted Deep-Learning-Based Design of High-Efficiency Class F Power Amplifiers

This article presents a deep-learning-based approach for designing Class F power amplifiers (PAs). We use convolutional neural networks (CNNs) to predict the scattering parameters of pixelated ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
TheServerSide

Free GitHub Copilot Practice Exams (GH-300)

If you want to pass the GH-300 GitHub Copilot Certification exam on your first attempt, you not only need to learn the exam material, but also master how to analyze and answer GitHub Copilot exam ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
C&EN

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...