What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
IEEE

Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer

Abstract: The performance of artificial neural networks heavily depends on the optimization of network parameters, specifically weights and biases, during the ...

This AI Model Can Intuit How the Physical World Works

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
Tech Xplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
IEEE

Exploring the Horizons of Meta-Learning in Neural Networks: A Survey of the State-of-the-Art

Abstract: In the vast landscape of machine learning, meta-learning stands out as a challenging and dynamic area of exploration. While traditional machine learning models rely on standard algorithms to ...
GitHub

entity-embedding

A small library that can encode categorical variables to entity embeddings using a TensorFlow 2.0 neural network. Supports classification and regression problems. Network parameters are adjustable.