Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

The Digit Classifier is an advanced web application that leverages deep learning to recognize handwritten digits in real-time. Built with modern technologies and best practices, it supports both ...

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 ...

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The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...

Battling back from injury takes relentless effort. The physical therapy, strength training and mental hurdles coming with the process are grueling. Any player returning from one, especially a ...

Dr. Vijayan Asari is the University of Dayton Ohio Research Scholars Endowed Chair in Wide Area Surveillance and a Professor with the Department of Electrical and Computer Engineering. He is also the ...

• Architecture: 4-layer CNN (convolutional layers with 32, 64, 128, and 256 filters) → Max pooling → Dropout → Fully connected layers. • Training: Dataset: MNIST (28×28 grayscale digits).