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What is Deeplearning4j?

DL4J utilizes cutting-edge distributed computing technologies like Apache Spark and Hadoop to significantly improve training speed. When combined with multiple GPUs, it achieves performance levels that rival those of Caffe. Completely open-source and licensed under Apache 2.0, the libraries benefit from active contributions from both the developer community and the Konduit team. Developed in Java, Deeplearning4j can work seamlessly with any language that operates on the JVM, which includes Scala, Clojure, and Kotlin. The underlying computations are performed in C, C++, and CUDA, while Keras serves as the Python API. Eclipse Deeplearning4j is recognized as the first commercial-grade, open-source, distributed deep-learning library specifically designed for Java and Scala applications. By connecting with Hadoop and Apache Spark, DL4J effectively brings artificial intelligence capabilities into the business realm, enabling operations across distributed CPUs and GPUs. Training a deep-learning network requires careful tuning of numerous parameters, and efforts have been made to elucidate these configurations, making Deeplearning4j a flexible DIY tool for developers working with Java, Scala, Clojure, and Kotlin. With its powerful framework, DL4J not only streamlines the deep learning experience but also encourages advancements in machine learning across a wide range of sectors, ultimately paving the way for innovative solutions. This evolution in deep learning technology stands as a testament to the potential applications that can be harnessed in various fields.

What is Azure HDInsight?

Leverage popular open-source frameworks such as Apache Hadoop, Spark, Hive, and Kafka through Azure HDInsight, a versatile and powerful service tailored for enterprise-level open-source analytics. Effortlessly manage vast amounts of data while reaping the benefits of a rich ecosystem of open-source solutions, all backed by Azure’s worldwide infrastructure. Transitioning your big data processes to the cloud is a straightforward endeavor, as setting up open-source projects and clusters is quick and easy, removing the necessity for physical hardware installation or extensive infrastructure oversight. These big data clusters are also budget-friendly, featuring autoscaling functionalities and pricing models that ensure you only pay for what you utilize. Your data is protected by enterprise-grade security measures and stringent compliance standards, with over 30 certifications to its name. Additionally, components that are optimized for well-known open-source technologies like Hadoop and Spark keep you aligned with the latest technological developments. This service not only boosts efficiency but also encourages innovation by providing a reliable environment for developers to thrive. With Azure HDInsight, organizations can focus on their core competencies while taking advantage of cutting-edge analytics capabilities.

Media

Media

Integrations Supported

Apache Spark
Hadoop
Apache HBase
Apache Storm
Azure Data Lake
Azure Data Lake Storage
Azure Database for MariaDB
Azure Marketplace
GoProfiles
Microsoft Azure
Microsoft R Open
Protegrity
SAS Studio

Integrations Supported

Apache Spark
Hadoop
Apache HBase
Apache Storm
Azure Data Lake
Azure Data Lake Storage
Azure Database for MariaDB
Azure Marketplace
GoProfiles
Microsoft Azure
Microsoft R Open
Protegrity
SAS Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Deeplearning4j

Date Founded

2019

Company Location

Japan

Company Website

deeplearning4j.org

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/hdinsight/

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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