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DenseNet Architecture Explained | Beginner’s Deep Learning Tutorial

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
GitHub

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction

This demo shows how to use transformer networks to model the daily prices of stocks in MATLAB®. We will predict the price trends of three individual stocks and use the predicted time series values to ...
SlashGear

How Deep Can A Metal Detector Typically Detect?

So, you've binged a few treasure-hunting shows and now you're wondering if your own old detector in the garage can find you a pirate chest. One of the first questions that may pop up in your head ...
GitHub

Use the MATLAB deep learning designer to modify the model structure

We are currently training with the following code: yolov8Det = trainYOLOv8ObjectDetector('data.yaml', 'yolov8n.pt', ImageSize=[720 720 3], MaxEpochs=10); The structure of yolov8n.pt that we are using ...
IEEE

Nanobot-Assisted Pollination for Sustainable Agriculture: A Review of Image Classification and Deep Learning Techniques With YOLO, SLAM, and MATLAB

Abstract: The global decrease in native pollinators poses a substantial challenge to agricultural production and food security, particularly in malnutrition prone countries. There is a huge potential ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...