Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache Ant serves as a Java library and a command-line utility designed to execute processes outlined in build files, where targets and extension points are interdependent. Primarily, Ant is utilized for building Java applications, providing various built-in tasks that facilitate compiling, assembling, testing, and running these applications. Additionally, Ant proves to be effective in constructing non-Java applications, such as those written in C or C++. Beyond its specific language applications, Ant can manage any process that can be articulated in terms of tasks and targets, showcasing its versatility. Being developed in Java, Ant allows users to create custom "antlibs" that include tailored tasks and types while also offering a plethora of existing commercial and open-source "antlibs." This flexibility means that Ant does not enforce any specific coding standards or directory structures, making it adaptable for diverse Java projects that choose to implement it as their build system. Consequently, the adaptability and extensive features of Ant make it a preferred choice for developers across various programming environments.
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
Integrations
Abstract Security
Yes
Apache Ivy
Yes
Apache Spark
No
Azure Marketplace
Yes
Beats
Yes
Cobertura
Yes
ConnectALL
Yes
DROPS
Yes
Hadoop
No
IntelliJ IDEA
Yes
Integrations
Abstract Security
No
Apache Ivy
No
Apache Spark
Yes
Azure Marketplace
No
Beats
No
Cobertura
No
ConnectALL
No
DROPS
No
Hadoop
Yes
IntelliJ IDEA
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
ant.apache.org
Vendor Details
Company Name
Deeplearning4j
Founded
2019
Country
Japan
Website
deeplearning4j.org
Product Features
Build Automation
Automated Testing
No
Build Cache
No
Build Management Tools
No
Build Metrics
No
Change Only Compiling
No
Debugging Tools
No
Dependency Management
No
IDE Compatibility
No
Parallel Testing
No
Plugin Library
No
Source Code Management
No
Version Conflict Resolution
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