[HTML][HTML] Front-end deep learning web apps development and deployment: a review
Abstract Machine learning and deep learning models are commonly developed using
programming languages such as Python, C++, or R and deployed as web apps delivered …
programming languages such as Python, C++, or R and deployed as web apps delivered …
Moving deep learning into web browser: How far can we go?
Recently, several JavaScript-based deep learning frameworks have emerged, making it
possible to perform deep learning tasks directly in browsers. However, little is known on …
possible to perform deep learning tasks directly in browsers. However, little is known on …
A first look at deep learning apps on smartphones
To bridge the knowledge gap between research and practice, we present the first empirical
study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit …
study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit …
[图书][B] Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter: Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
A Singh, R Bhadani - 2020 - books.google.com
Learn how to deploy effective deep learning solutions on cross-platform applications built
using TensorFlow Lite, ML Kit, and Flutter Key FeaturesWork through projects covering …
using TensorFlow Lite, ML Kit, and Flutter Key FeaturesWork through projects covering …
[HTML][HTML] Guidelines and benchmarks for deployment of deep learning models on smartphones as real-time apps
A Sehgal, N Kehtarnavaz - Machine Learning and Knowledge Extraction, 2019 - mdpi.com
Deep learning solutions are being increasingly used in mobile applications. Although there
are many open-source software tools for the development of deep learning solutions, there …
are many open-source software tools for the development of deep learning solutions, there …
[HTML][HTML] Emerging mobile apps: Challenges and open problems
Smartphone applications are increasingly popular for use in all aspects of life, from work to
entertainment to health and education. The latest generation of smartphone apps exhibit …
entertainment to health and education. The latest generation of smartphone apps exhibit …
[图书][B] Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3. x
A Artasanchez, P Joshi - 2020 - books.google.com
New edition of the bestselling guide to artificial intelligence with Python, updated to Python
3. x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases …
3. x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases …
The state of the art in implementing machine learning for mobile apps: A survey
Mobile applications based on machine learning are reshaping and affecting many aspects
of our lives. Implementing machine learning on mobile devices faces various challenges …
of our lives. Implementing machine learning on mobile devices faces various challenges …
Machine learning deployment as a web service
P Singh, P Singh - Deploy Machine Learning Models to Production: With …, 2021 - Springer
Machine Learning Deployment as a Web Service | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
[图书][B] High-Performance Web Apps with FastAPI
M Lathkar - 2023 - Springer
As a programming language, Python has been continuously evolving. New features and
capabilities are incorporated with each version of Python. This has made Python the …
capabilities are incorporated with each version of Python. This has made Python the …