Deep Learning with Yacine on MSN

Understanding Caesar cipher in Python — encode and decode text easily

Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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 ...
GitHub

Kalman and Bayesian Filters in Python

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
IEEE

GISCA: Gradient-Inductive Segmentation Network With Contextual Attention for Scene Text Detection

Abstract: Scene text detection (STD) is an irreplaceable step in a scene text reading system. It remains a more challenging task than general object detection since text objects are of arbitrary ...
GitHub

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe)

CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.
Analytics Insight

What Are Python Data Types? A Beginner’s Easy Guide

Python data types define how values are stored, processed, and interpreted in every program. Choosing the right data type improves clarity, reduces errors, and simplifies logic. Understanding ...