The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

They have raised some concerns about several aspects of the government's 11 additional measures to strengthen safety and discipline in schools, including the decision to install CCTV cameras only in ...

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 ...

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...

Confused by neural networks? Break it down step-by-step as we walk through forward propagation using Python—perfect for beginners and curious coders alike! My Dad Was Gay — But Married To My Mom For ...

Detailed explanation and hands-on Python implementation of dropout from scratch. #Dropout #PythonAI #NeuralNetworks Donald Trump's remarks about Putin leave Russian state TV stunned Which Berry Has ...

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 ...

This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.

Abstract: In this paper, a robust watermarking algorithm given recurrent neural networks (RNN) is proposed. We present discrete wavelet transform (DWT) innovation for watermarking. The network is laid ...