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Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

XAI Driven Software Defect Prediction Using Adaptive Feature Engineering Coupled With Autoencoder and Multi-Layer Perceptron: An Empirical Study

Abstract: Software defect prediction is essential for ensuring the reliability and robustness of software prototypes during development. The current study has proposed a novel strategy that integrates ...
GitHub

Source code for a neural network-based framework for signal separation in spatio-temporal gravity data

B. Heller-Kaikov, R. Pail and M. Werner, Neural network-based framework for signal separation in spatio-temporal gravity data. Computers and Geosciences (2025), doi ...
The New York Times

Cache of Devices Capable of Crashing Cell Network Is Found Near U.N.

The Secret Service discovered more than 100,000 SIM cards and 300 servers, which could disable cellular towers or be used to conduct surveillance. By Eileen Sullivan Reporting from Washington The ...
Campus Technology

Network to Code Launches AI Assistant for Enterprise Network Teams

Network automation firm Network to Code has launched NautobotGPT, an AI-powered assistant aimed at helping enterprise network engineers create, test, and troubleshoot automation tasks more efficiently ...
Frontiers

NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules

With increasing model complexity, models are typically re-used and evolved rather than starting from scratch. There is also a growing challenge in ensuring that these models can seamlessly work across ...
gc.cuny

Programming Neural Networks in Python: Part II (continued)

The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...