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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.
C&EN

Deep Learning-Enhanced Dual-Component Gas Sensor Based on Wavelength Modulation Spectroscopy

State Key Laboratory of Optoelectronic Information Acquisition and Protection Technology, Information Materials and Intelligent Sensing Laboratory of Anhui Province, Key Laboratory of Optoelectronic ...
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 ...
IEEE

Improved Deep Learning-Based Microwave Inversion With Experimental Training Data

Abstract: Deep learning-based inversion methods show great promise. The most common way to develop deep learning inversion techniques is to use synthetic (i.e., computationally-generated) data for ...
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 ...
GitHub

deep-learning-tutorial

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
digitalengineering247

MATLAB Dives Into Deep Learning

Machine learning and artificial intelligence are fast becoming an integral fixture in modern-day products and applications, but the disciplines are still highly complex and not a core domain expertise ...