GitHub

Neural Network from Scratch

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...
Frontiers

Hybrid recurrent with spiking neural network model for enhanced anomaly prediction in IoT networks security

Introduction: As the number of Internet of Things (IoT) devices grows quickly, cyber threats are becoming more complex and increasingly sophisticated; thus, we need a more robust network security ...
Wired

The Future of AI Isn’t Just Slop

The filmmaker could not get Tiggy the alien to cooperate. He just needed the glistening brown creature to turn its head. But Tiggy, who was sitting in the passenger’s seat of a cop car, kept ...
IEEE

FPGA Implementation of PoolFormer Network Using Python-Driven High-Level Synthesis Framework for Edge-AIoT Speech Recognition

Abstract: This brief presents an edge-AIoT speech recognition system, which is based on a new spiking feature extraction (SFE) method and a PoolFormer (PF) neural network optimized for implementation ...
Princeton University

In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning

When Fei-Fei Li arrived in Princeton in January 2007 as an assistant professor, she was assigned an office on the second floor of the computer science building. Her neighbor was Christiane Fellbaum.
Hosted on MSN

Neural Network python from scratch | MultiClass Classification 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 ...
Hosted on MSN

Deep Neural Network From Scratch in Python ¦ Fully Connected Feedforward Neural Network

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! New details in Charlie Kirk shooting as his widow breaks her silence Trump ...
IEEE

Improving accuracy in Text Extraction From images using Region-Based Convolutional Neural Networks algorithm compared to Convolutional Neural Network algorithm

Abstract: Text extraction is a critical task in data processing and analysis, requiring high accuracy for effective applications. This research employed a publicly accessible Kaggle dataset to assess ...
Scientific Research Publishing

Research on the Design of News Text Classification Algorithm Based on Bidirectional GRU Neural Network ()

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...