Havoc is moving and shaking on a crisp October afternoon, heading into our interview in a SiriusXM greenroom right after talking to DJ Whoo Kid at the radio conglomerate. Wearing a camo hoodie 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 ...

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...

This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...

Conceptual render of the Digitally Enabled Efficient Propeller (D.E.E.P) (Credit: Enki Marine) Consortium members at the project kick-off meeting at DEEP Manufacturing’s HQ in Bristol (Credit: D.E.E.P ...

Department of Light Chemical Engineering, School of Textiles Science and Engineering; Key Laboratory of Special Protective, Ministry of Education; Jiangnan University, Wuxi 214122, P. R. China ...

Abstract: This senior thesis develops a real-time handwritten digit identification system using a Raspberry Pi 3B+ with a camera module, leveraging a lightweight CNN optimized with MNIST. The project ...

• 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).

It’s one of the most popular entertainment spots in Dallas, but Deep Ellum business owners say ongoing street construction is hurting their bottom line. And, they worry the problem will only get worse ...