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.

Why is this important? This upgrade will allow users to pull source material directly from their Gmail, Drive, or Chat, eliminating the need to manually download and upload files. Why should I care?

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

Accurate and timely detection of diabetic retinopathy (DR) is crucial for managing its progression and improving patient outcomes. However, developing algorithms to analyze complex fundus images ...

This study investigates the robustness of deep learning-based steganalysis models against common image transformations because most literature has not paid enough attention to resilience assessment.

Abstract: In this paper, we propose a new deep-learningbased framework for the automatic analysis of microorganism images in MATLAB. In fact, this is an effort to improve the accuracy and efficiency ...

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.