This chapter reviews recent research deploying deep learning (DL) to resolve problems in interactive marketing. It takes stock of what marketers know, how and why they do that. From an engagement marketing perspective, this chapter catalogues DL application cases in (1) customer acquisition, ...
- 《Neural Computing & Applications》 被引量: 0发表: 2022年 Soil profile analysis using interactive visualizations, machine learning, and deep learning Soil is an essential element of life, and soil properties are crucial in analyzing soil health. Recent developments of proximal sensor technologies,...
Potential, challenges and future directions for deep learning in prognostics and health management applications. O. Fink, Q. Wang, M. Svensén, P. Dersin, W-J. Lee, M. Ducoffe. Engineering Applications of Artificial Intelligence, 2020 Learning User Representations with Hypercuboids for Recommender...
Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications,in organizations ranging fromGoogle to Tesla,Facebook to Apple. Thousands of technical professionals and students want to start leveragi...
Applications and devices are more connected than ever, enabling a number of high-impact use cases for new AI-powered Chatbots and Voicebots. However, poor application of chatbot and voicebot technologies can create impersonal service interactions and big problems for businesses – not only in custom...
Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends as one of the uses of machine learning in IoV systems, in addition to studying the effect of neural networks (NNs) and their types, as well as deep learning mechanisms that ...
The combination of user input and deep learning enables more accurate and adaptive whole cell image segmentation. (1.) Setup: The workflow begins with the user interacting with the ImPartial plugin through the Fiji app to connect to an ImPartial endpoint or a local server which runs MONAI ...
Dive into this book if you want to dive into deep learning!" — Jiawei Han, Michael Aiken Chair Professor, University of Illinois at Urbana-Champaign "This is a highly welcome addition to the machine learning literature, with a focus on hands-on experience implemented via the integration of...
only a comprehensive overview of deep learning principles but also detailed algorithms with hands-on programming code, and moreover, a state-of-the-art introduction to deep learning in computer vision and natural language processing. Dive into this book if you want to dive into deep learning!"...
The hierarchical representation easily enables to build deep learning models with many layers. The GUI鈥恇ased modeling tool employing the proposed methods makes nonexpert developers easily use deep learning techniques in their practical applications....