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What is MInD Platform?

Through our MIND platform, we develop customized solutions designed to meet your unique challenges. Following this, we offer training for your team to effectively manage these solutions and make necessary adjustments to the underlying models. A diverse array of industries, including industrial, medical, and consumer services, utilizes our offerings to automate processes that once depended heavily on human effort; tasks such as performing visual inspections for product quality, ensuring food sector quality assurance, counting and categorizing biological cells or chromosomes in research, assessing performance in gaming, measuring geometric parameters like position, size, profile, distance, and angle, monitoring agricultural products, and executing time series analyses in both healthcare and sports. The advanced functionalities of our MIND platform enable businesses to effortlessly create comprehensive AI solutions that are tailored to their specific requirements. This platform provides all the critical tools needed for each of the five phases involved in developing deep learning solutions, facilitating a streamlined and effective development experience. By harnessing the capabilities of our MIND platform, companies can stay ahead in an ever-changing technological environment, ultimately driving innovation and success. Our commitment is to ensure that your business not only adapts but thrives in this fast-paced digital era.

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
Hadoop

Integrations Supported

Apache Spark
Hadoop

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

Machine Intelligence

Company Location

Hungary

Company Website

mi.services

Company Facts

Organization Name

Deeplearning4j

Date Founded

2019

Company Location

Japan

Company Website

deeplearning4j.org

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

Deep Learning

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

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