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What is VisionPro Deep Learning?
VisionPro Deep Learning is recognized as a leading software solution for image analysis utilizing deep learning, specifically designed to meet the demands of factory automation. Its advanced algorithms, validated through practical applications, are expertly optimized for machine vision and come with an easy-to-use graphical user interface that allows for efficient neural network training. This software effectively tackles complex issues that traditional machine vision systems find challenging, achieving a consistency and speed that far surpasses manual inspection methods. Furthermore, when combined with VisionPro’s comprehensive rule-based vision libraries, automation engineers can easily identify and use the most appropriate tools for their particular projects. VisionPro Deep Learning combines an extensive array of machine vision capabilities with advanced deep learning features, all integrated into a cohesive development and deployment framework. This seamless integration greatly simplifies the creation of vision applications that need to respond to changing conditions. Ultimately, VisionPro Deep Learning equips users to improve their automation processes while ensuring adherence to high-quality standards. By leveraging these innovative tools, companies can enhance productivity and achieve greater operational efficiency.
What is MXNet?
A versatile front-end seamlessly transitions between Gluon’s eager imperative mode and symbolic mode, providing both flexibility and rapid execution. The framework facilitates scalable distributed training while optimizing performance for research endeavors and practical applications through its integration of dual parameter servers and Horovod. It boasts impressive compatibility with Python and also accommodates languages such as Scala, Julia, Clojure, Java, C++, R, and Perl. With a diverse ecosystem of tools and libraries, MXNet supports various applications, ranging from computer vision and natural language processing to time series analysis and beyond. Currently in its incubation phase at The Apache Software Foundation (ASF), Apache MXNet is under the guidance of the Apache Incubator. This essential stage is required for all newly accepted projects until they undergo further assessment to verify that their infrastructure, communication methods, and decision-making processes are consistent with successful ASF projects. Engaging with the MXNet scientific community not only allows individuals to contribute actively but also to expand their knowledge and find solutions to their challenges. This collaborative atmosphere encourages creativity and progress, making it an ideal moment to participate in the MXNet ecosystem and explore its vast potential. As the community continues to grow, new opportunities for innovation are likely to emerge, further enriching the field.
Integrations Supported
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon EC2 P4 Instances
Amazon Elastic Inference
Amazon SageMaker Model Building
Cameralyze
Flower
Gradient
Guild AI
Integrations Supported
AWS Elastic Fabric Adapter (EFA)
AWS Marketplace
Activeeon ProActive
Amazon EC2 P4 Instances
Amazon Elastic Inference
Amazon SageMaker Model Building
Cameralyze
Flower
Gradient
Guild AI
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
Cognex
Date Founded
1981
Company Location
United States
Company Website
www.cognex.com/products/deep-learning/visionpro-deep-learning
Company Facts
Organization Name
The Apache Software Foundation
Date Founded
1999
Company Location
United States
Company Website
mxnet.apache.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