Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
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) ...
Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
Deep Learning with Yacine on MSN
Digit recognition with deep learning — PyTorch beginner project
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...
Deep Learning with Yacine on MSN
Understanding forward propagation in neural networks with Python – step by step
Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
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 ...
Overview: Learning AI in 2026 no longer requires advanced math or coding skills to get started.Many beginner courses now ...
Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...
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