Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety

Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...
Deep Learning with Yacine on MSN

RMSProp Optimization from Scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Analytics Insight

NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...
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 ...
Frontiers

Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs

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 ...
Frontiers

Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...
IEEE

Grover’s Algorithm for Neural Networks

Abstract: This paper introduces an application of Grover’s algorithm to optimize neural network training by eliminating the computationally demanding backward propagation. It clarifies previous ...
GitHub

OyewoleRasheed/Classification-with-Neural-Networks-using-Python

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...