Deep Learning with Yacine on MSN

How to Implement Stochastic Gradient Descent with Momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
Deep Learning with Yacine on MSN

Adadelta Optimizer From Scratch in Python – Step-by-Step Tutorial

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Make Tech Easier

Google Colab Allows You to Write and Run Python Code in Your Browser – Getting Started Guide

Google Colab is a free online tool from Google that lets you write and run Python code directly in your browser.

How to Use Market Research to Make Decisions

Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I ...
IEEE

Low-Cost MLS-Based Forest Plot Mapping via Feature Graph Registration

Abstract: Forest plot mapping is a significant task in forest inventories by providing accurate structural parameters. However, understory mapping still predominantly relies on terrestrial laser ...
The EMBO Journal

Immune cells adapt to confined environments in vivo to optimise nuclear plasticity for migration

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Cells navigating in complex 3D ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...