Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers. Topics

Introduction: Deep learning is a subset of machine learning based on artificial neural networks with representation learning. This documentation explains the flowchart of the deep learning …

In this article, we cover the workflow for a deep learning project: how we build out deep learning solutions to tackle real-world tasks. The deep learning workflow has seven primary …

This paper presents a federated learning (FL) approach to train deep learning models for classifying age-related macular degeneration (AMD) using optical coherence tomography …

Apr 28, 2025 · A good way to understand how machine learning works is by using a flowchart. This help us to visualize different steps involved in building a machine learning model. 1. …

Feb 3, 2025 · A deep learning workflow sketch is a visual representation of the steps involved in developing and deploying a deep learning model. It typically includes the following stages: …

I made a Flow chart inspired by u/komi96's chart (source): https://www.reddit.com/r/deeplearning/comments/hf0ngb/i_made_a_flow_chart_on_how_to_train_deep_neural/?utm_source=share&utm_medium=web2x&context=3

In this research, Various types of machine learning regression algorithms, namely, Linear Regression, Support Vector Regression, Random Forest Regression, and Multilayer …

Aug 31, 2023 · Deep learning has proven impressive achievements in everything from image identification to natural language processing, making it a cornerstone of modern AI systems. …

This paper aims to explore the use of different deep learning techniques, specifically convolutional neural networks (CNNs), for dietary assessment through image food recognition and compare...