Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

A hybrid front-end efficiently switches between Gluon eager imperative mode and symbolic mode, offering both adaptability and speed. The framework supports scalable distributed training and enhances performance optimization for both research and real-world applications through its dual parameter server and Horovod integration. It features deep compatibility with Python and extends support to languages such as Scala, Julia, Clojure, Java, C++, R, and Perl. A rich ecosystem of tools and libraries bolsters MXNet, facilitating a variety of use-cases, including computer vision, natural language processing, time series analysis, and much more. Apache MXNet is currently in the incubation phase at The Apache Software Foundation (ASF), backed by the Apache Incubator. This incubation stage is mandatory for all newly accepted projects until they receive further evaluation to ensure that their infrastructure, communication practices, and decision-making processes align with those of other successful ASF initiatives. By engaging with the MXNet scientific community, individuals can actively contribute, gain knowledge, and find solutions to their inquiries. This collaborative environment fosters innovation and growth, making it an exciting time to be involved with MXNet.

Description

VisionPro Deep Learning stands out as a premier software solution for image analysis driven by deep learning, specifically tailored for factory automation needs. Its robust algorithms, proven in real-world scenarios, are finely tuned for machine vision, featuring an intuitive graphical user interface that facilitates neural network training without sacrificing efficiency. This software addresses intricate challenges that traditional machine vision systems struggle to manage, delivering a level of consistency and speed that manual inspection cannot match. Additionally, when paired with VisionPro’s extensive rule-based vision libraries, automation engineers can readily select the most suitable tools for their specific tasks. VisionPro Deep Learning merges a wide-ranging machine vision toolset with sophisticated deep learning capabilities, all within a unified development and deployment environment. This integration significantly streamlines the process of creating vision applications that must adapt to variable conditions. Ultimately, VisionPro Deep Learning empowers users to enhance their automation processes while maintaining high-quality standards.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Elastic Fabric Adapter (EFA) Yes 
AWS Marketplace Yes 
Amazon EC2 Inf1 Instances Yes 
Amazon EC2 P4 Instances Yes 
Amazon Elastic Inference Yes 
Amazon SageMaker Debugger Yes 
Amazon SageMaker Model Building Yes 
Cameralyze Yes 
Flower Yes 
GPUonCLOUD Yes 
Google Cloud Deep Learning VM Image Yes 
Horovod Yes 
MLReef Yes 
NVIDIA Triton Inference Server Yes 
Predator DNC No 
Predator MDC No 
Predator PDM No 
Predator Touch HMI No 
Predator Virtual CNC No 
StayLinked No 

Integrations

AWS Elastic Fabric Adapter (EFA) No 
AWS Marketplace No 
Amazon EC2 Inf1 Instances No 
Amazon EC2 P4 Instances No 
Amazon Elastic Inference No 
Amazon SageMaker Debugger No 
Amazon SageMaker Model Building No 
Cameralyze No 
Flower No 
GPUonCLOUD No 
Google Cloud Deep Learning VM Image No 
Horovod No 
MLReef No 
NVIDIA Triton Inference Server No 
Predator DNC Yes 
Predator MDC Yes 
Predator PDM Yes 
Predator Touch HMI Yes 
Predator Virtual CNC Yes 
StayLinked Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

mxnet.apache.org

Vendor Details

Company Name

Cognex

Founded

1981

Country

United States

Website

www.cognex.com/products/deep-learning/visionpro-deep-learning

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification Yes 
Image Segmentation Yes 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning Yes 
Visualization No 

Alternatives

Alternatives