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 ...
Abstract: Artificial neural networks have led to a higher computational burden, complicating inference tasks on low-power edge devices. Spiking neural network (SNN), which leverages sparse spikes for ...
This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Abstract: Quality factor (Q) estimation is critical for the processing of nonstationary seismic data and is an important indicator of oil and gas. Traditional methods for Q value estimation require ...
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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