Deep Learning with Yacine on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...
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 ...
IEEE

Probabilistic Approximation of Stochastic Time Series Using Bayesian Recurrent Neural Network

Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...
IEEE

Fast Charging of Lithium-Ion Batteries Using Deep Bayesian Optimization With Recurrent Neural Network

Abstract: Fast charging has attracted increasing attention from the battery community for electrical vehicles (EVs) to alleviate range anxiety and reduce charging time for EVs. However, inappropriate ...
InfoWorld

A brief history of AI

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Navigating the Code World: The Cutting Edge and Applications of Python in Machine Learning

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...
The Hacker News

AI-Powered Villager Pen Testing Tool Hits 11,000 PyPI Downloads Amid Abuse Concerns

A new artificial intelligence (AI)-powered penetration testing tool linked to a China-based company has attracted nearly 11,000 downloads on the Python Package Index (PyPI) repository, raising ...