Java

Java

Oracle
5.0 out of 5 stars
Racket

Racket

Racket Language
+

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About

DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

About

Racket is a general-purpose, multi-paradigm programming language that serves as a modern dialect of Lisp and a descendant of Scheme. It is designed as a platform for programming language design and implementation, enabling developers to create new domain-specific and general-purpose languages. Racket's core language includes features such as macros, modules, lexical closures, tail calls, delimited continuations, parameters (fluid variables), software contracts, green threads, and OS threads. The language also comes with primitives, such as event spaces and custodians, which control resource management and enable the language to act like an operating system for loading and managing other programs. Further extensions to the language are created with the powerful macro system, which, together with the module system and custom parsers, can control all aspects of a language. Most language constructs in Racket are implemented as macros in the base language.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM

Audience

Developers looking for a Programming Language solution

Audience

Programmers and educators looking for a programming language to improve scripting and computer science education

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Clearly strong typed code that you write in appropriate classes without the generics, or lisp type code of later versions.

Cons

  • The accusations like being verbose etc are stupid arguments. You have classes made for specific functions ie work and you just call methods and you don't write code repetitive from the start again and again

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Deeplearning4j
Founded: 2019
Japan
deeplearning4j.org

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Company Information

Racket Language
United States
racket-lang.org

Alternatives

MXNet

MXNet

The Apache Software Foundation

Alternatives

Alternatives

Apache Mahout

Apache Mahout

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation
Oxygene

Oxygene

RemObjects Software
Apache Spark

Apache Spark

Apache Software Foundation
Zig

Zig

Zig Software Foundation

Categories

Deep Learning Supported
Neural Network Supported

Categories

Categories

Integrations

3forge Not Supported
Bazel Not Supported
ChatGPT Plus Not Supported
Checkmarx Not Supported
Claude Fable 5.1 Not Supported
CodeSign Secure Not Supported
CyberSiARA Not Supported
DevCycle Not Supported
Ditto Not Supported
Eclipse CDT Not Supported
GPT-5.1-Codex Not Supported
JetBrains Junie Not Supported
Lightly Not Supported
Llama 3.2 Not Supported
MPLAB X IDE Not Supported
Spark NLP Not Supported
String.com Not Supported
Undrstnd Not Supported
gProfiler Not Supported
gedit Not Supported

Integrations

3forge Supported
Bazel Supported
ChatGPT Plus Supported
Checkmarx Supported
Claude Fable 5.1 Supported
CodeSign Secure Supported
CyberSiARA Supported
DevCycle Supported
Ditto Supported
Eclipse CDT Supported
GPT-5.1-Codex Supported
JetBrains Junie Supported
Lightly Supported
Llama 3.2 Supported
MPLAB X IDE Supported
Spark NLP Supported
String.com Supported
Undrstnd Supported
gProfiler Supported
gedit Supported

Integrations

3forge Not Supported
Bazel Not Supported
ChatGPT Plus Not Supported
Checkmarx Not Supported
Claude Fable 5.1 Not Supported
CodeSign Secure Not Supported
CyberSiARA Not Supported
DevCycle Not Supported
Ditto Not Supported
Eclipse CDT Not Supported
GPT-5.1-Codex Not Supported
JetBrains Junie Not Supported
Lightly Not Supported
Llama 3.2 Not Supported
MPLAB X IDE Not Supported
Spark NLP Not Supported
String.com Not Supported
Undrstnd Not Supported
gProfiler Not Supported
gedit Not Supported
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