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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.
Description
Using our MIND platform, we create tailored solutions to address your specific challenges. Subsequently, we provide training for your team to manage these solutions and adjust the underlying models as necessary. Companies across various sectors, including industrial, medical, and consumer services, leverage our products and services to automate tasks that were previously reliant on human intervention, such as conducting visual inspections for product quality, ensuring quality assurance in the food sector, counting and categorizing cells or chromosomes in biomedical research, analyzing gaming performance, measuring geometrical attributes like position, size, profile, distance, and angle, tracking agricultural objects, and conducting time series analyses in healthcare and sports. With the capabilities offered by our MIND platform, businesses can seamlessly develop comprehensive AI solutions tailored to their needs. This platform equips you with all the essential resources required for each of the five stages involved in creating deep learning solutions, ensuring a smooth and efficient development process. Ultimately, our goal is to empower your business to thrive in a rapidly evolving technological landscape.
API Access
Has API
API Access
Has API
Integrations
Apache Spark
Hadoop
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Deeplearning4j
Founded
2019
Country
Japan
Website
deeplearning4j.org
Vendor Details
Company Name
Machine Intelligence
Country
Hungary
Website
mi.services
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization