AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...
Add a description, image, and links to the machine-learning-deep-learning-mnist-keras topic page so that developers can more easily learn about it.
Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...
According to Lex Fridman, major open source projects such as Linux, PyTorch, TensorFlow, and open-weight large language models (LLMs) are foundational to the current AI ecosystem, enabling rapid ...
A dual-approach Breast Cancer Prediction system using Machine Learning and Deep Learning. Includes EDA, model comparison (KNN, RF, Logistic), ANN with Keras, and hyperparameter tuning using ...
1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...
School of Public Health, Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University, 818 Fenghua Road, Ningbo 315211, Zhejiang Province, China ...
This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...