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 ...

BP has sanctioned its wholly-owned $5 billion Tiber-Guadalupe deep-water project, marking the second time in the past two years that it has reached a final investment decision for a major US Gulf ...

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 ...

Starting in January, Medicare will test out an artificial intelligence (AI) pilot program to decide whether patients get certain procedures covered or not. The Centers for Medicare & Medicaid Services ...

• 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).

This project implements a CNN-based image classification model using the MNIST dataset to recognize handwritten digits from 0 to 9. It is built using TensorFlow, trained in Google Colab, and ...