Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
InfoWorld

Django tutorial: Get started with Django 6

Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found only in Django 6.0. Django is a one-size-fits-all Python web framework that ...
IEEE

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...
IEEE

Twin Delayed Deep Deterministic Policy Gradient (TD3) Based Virtual Inertia Control for Inverter-Interfacing DGs in Microgrids

Abstract: Environmental and energy security concerns lead to the continuous displacement of traditional fossil fuel-based power generation to power electronics interfaced distributed generations (DGs) ...
GitHub

eBPF Developer Tutorial: Learning eBPF Step by Step with Examples

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code ...
GitHub

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution

Python==3.11.5 PyTorch==2.1.0 numpy==1.23.5 torchvision==0.16.0 scipy==1.11.3 thop==0.1.1.post2209072238 Pillow==10.0.1 tqdm==4.65.0 All pretrained models can be found here. Please note that some ...