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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Apache TomEE, affectionately known as “Tommy”, is a certified application server for Jakarta EE 9.1, built upon the foundation of Apache Tomcat by utilizing a standard Apache Tomcat zip file. The process begins with the base Apache Tomcat, to which we integrate our specific libraries and then package everything together. The end product is essentially Tomcat enhanced with additional EE features, resulting in TomEE. This server is stable and production-ready, with Apache TomEE 8.0 implementing Java EE 8/Jakarta EE 8 while maintaining support for the javax namespace, and it operates on Java 8 or later versions. Furthermore, it aligns closely with the Jakarta EE 9.1 web profile and embraces the new jakarta namespace, requiring Java 11 or more advanced versions. Apache TomEE is available in four distinct variations: web profile, MicroProfile, Plus, and Plume, each tailored for specific requirements. The web profile of Apache TomEE includes essential components such as servlets, JSP, JSF, JTA, JPA, CDI, bean validation, and EJB Lite. Meanwhile, Apache TomEE MicroProfile introduces functionalities that cater to MicroProfile needs, while TomEE Plus and Plume extend capabilities to include JMS, JAX-WS, and several other features. With its robust architecture and diverse profiles, Apache TomEE is designed to accommodate a wide array of enterprise applications.

Description

DL4J leverages state-of-the-art distributed computing frameworks like Apache Spark and Hadoop to enhance the speed of training processes. When utilized with multiple GPUs, its performance matches that of Caffe. Fully open-source under the Apache 2.0 license, the libraries are actively maintained by both the developer community and the Konduit team. Deeplearning4j, which is developed in Java, is compatible with any language that runs on the JVM, including Scala, Clojure, and Kotlin. The core computations are executed using C, C++, and CUDA, while Keras is designated as the Python API. Eclipse Deeplearning4j stands out as the pioneering commercial-grade, open-source, distributed deep-learning library tailored for Java and Scala applications. By integrating with Hadoop and Apache Spark, DL4J effectively introduces artificial intelligence capabilities to business settings, enabling operations on distributed CPUs and GPUs. Training a deep-learning network involves tuning numerous parameters, and we have made efforts to clarify these settings, allowing Deeplearning4j to function as a versatile DIY resource for developers using Java, Scala, Clojure, and Kotlin. With its robust framework, DL4J not only simplifies the deep learning process but also fosters innovation in machine learning across various industries.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Geronimo Yes 
Apache Spark No 
Apache Tomcat Yes 
Hadoop No 
HtmlUnit Yes 
Java Yes 
Maven Yes 

Integrations

Apache Geronimo No 
Apache Spark Yes 
Apache Tomcat No 
Hadoop Yes 
HtmlUnit No 
Java No 
Maven No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache

Country

United States

Website

tomee.apache.org

Vendor Details

Company Name

Deeplearning4j

Founded

2019

Country

Japan

Website

deeplearning4j.org

Product Features

Application Server

Admin Console No 
Alerts / Notifications No 
Application Security No 
Multi-Application Support No 
Multiple Environment Support No 
Open Standards Compliance No 
Reporting / Analytics No 
User Management No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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