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What is OpenSSL?

OpenSSL is a robust and feature-rich toolkit intended for the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols, while also functioning as a flexible cryptography library. It is distributed under an Apache-style license, which permits users to utilize it for various purposes—both commercial and non-commercial—as long as they comply with simple licensing terms. For those interested in exploring the community and the contributors behind the project or starting their own contributions, the community page serves as a great resource. To keep up with the latest updates, access source downloads, and find additional resources, the sidebar and navigation buttons at the top of each page offer convenient options for users. By engaging with the community, you can deepen your knowledge and gain insightful perspectives on the continuous advancements within OpenSSL, fostering a more collaborative environment for all contributors.

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.

Media

Media

Integrations Supported

Apache Spark
Beeftext
CodeSign Secure
FairCom RTG
GaraSign
Hadoop
Honggfuzz
Keyfactor Signum
PremierCashier
QCecuring
QSE
VHCS

Integrations Supported

Apache Spark
Beeftext
CodeSign Secure
FairCom RTG
GaraSign
Hadoop
Honggfuzz
Keyfactor Signum
PremierCashier
QCecuring
QSE
VHCS

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

OpenSSL

Date Founded

1998

Company Location

United States

Company Website

www.openssl.org

Company Facts

Organization Name

Deeplearning4j

Date Founded

2019

Company Location

Japan

Company Website

deeplearning4j.org

Categories and Features

Categories and Features

Deep Learning

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

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