Hands-on machine learning course with Python covering supervised learning (SVM, regression), unsupervised learning (K-Means, IRIS dataset), and deep learning (CNNs) using scikit-learn and TensorFlow.

Understand what in-context learning means in deep learning, how it works, and why it’s key for modern AI models. Perfect for beginners! #DeepLearning #MachineLearning #AI Putin ‘immediately’ read ...

Background and purpose: Patients with recurrent nasopharyngeal carcinoma (rNPC) undergoing re-irradiation have a high risk of lethal nasopharyngeal necrosis (NN), which may lead to massive ...

(CNN) — Deep in the hazardous and ecologically fragile Everglades, hundreds of migrants are confined in cages in a makeshift tent detention facility Florida’s Republican governor calls “safe and ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

PlantVision-CNN is a comprehensive plant disease classification system that combines advanced image preprocessing techniques with deep learning architectures. The system achieves robust performance on ...

Abstract: This paper conducts a comprehensive analysis of Convolutional Neural Network (CNN)-based deep learning models, focusing on the impact of transfer learning on their accuracy. Multiple ...