Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Deep Learning with Yacine on MSN
Backpropagation from scratch in Python – step by step neural network tutorial
Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...
Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...
Deep Learning with Yacine on MSN
RMSProp optimization from scratch in Python
Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
A high-severity security flaw has been disclosed in MongoDB that could allow unauthenticated users to read uninitialized heap memory. The vulnerability, tracked as CVE-2025-14847 (CVSS score: 8.7), ...
Abstract: Neuromorphic computing attempts to mimic the neural architecture of human brain by delivering a non vonNeumann hardware which can run even the most complex artificial intelligence algorithms ...
This repository provides a complete workflow for rapid State of Health (SOH) estimation of lithium-ion batteries using Electrochemical Impedance Spectroscopy (EIS) and neural network models. The code ...
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