Analytics Insight

Best Deep Learning Books to Read in 2026

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Hosted on MSN

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 ...
eLife

Online reinforcement learning of state representation in recurrent network supported by the power of random feedback and biological constraints

In this important study, the authors model reinforcement-learning experiments using a recurrent neural network. The work examines if the detailed credit assignment necessary for back-propagation ...
IEEE

New Recurrent Neural Network for Different-Level Sylvester Matrix Equation System: A Direct Discrete Architecture Perspective

Abstract: Discrete time-varying problems are pervasive in the fields of engineering and science. Traditional handling schemes to discrete problem often involve the intervention of continuous-time ...
Scientific Research Publishing

Muhuri, P.S., Chatterjee, P., Yuan, X., Roy, K. and Esterline, A. (2020) Using a Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) to Classify Network Attacks ...

ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...
GitHub

GitHub - moreira-and/time-series-prediction-rnn: Practical project for time series prediction using recurrent neural networks (RNN) with Python.

This project implements a robust time series forecasting pipeline to predict the closing prices of the IBOVESPA index, Brazil’s main stock market benchmark. It combines advanced data preprocessing ...
Phys.org

Self-learning neural network cracks iconic black holes

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...
GitHub

neural-network-algorithm

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.