Using a single microcontroller port to drive a multi-digit LED display to help engineers with those last-minute design ...
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, forward propagation, backpropagation, and coding step by step for a hands ...
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 ...
Abstract: Predictive maintenance is essential for ensuring the reliability and efficiency of wind energy systems. Traditional deep learning models for sensor fault detection rely solely on data-driven ...
Abstract: Physics-informed neural networks (PINNs) have recently been utilized to tackle wave equation-based forward and inverse problems. However, they encounter challenges in accurately predicting ...
In the context of the rapid development of computer hardware and the continuous improvement of the artificial intelligence and deep learning theory, aiming at the traditional numerical solution method ...
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