MatConvNetVLFeat
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Neural DesignerArtelnics
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Related Products
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About
The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.
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About
Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge.
With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains.
Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort.
Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance.
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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
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Anyone in need of a deep learning software
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Audience
Analytics professionals, data scientists, researchers, universities
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$2495/year (per user)
Neural Designer offers different products to adapt to your needs.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationVLFeat
United States
www.vlfeat.org/matconvnet/
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Company InformationArtelnics
Founded: 2014
Spain
www.neuraldesigner.com
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Alternatives |
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Categories |
Categories |
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Deep Learning Features
Convolutional Neural Networks
Supported
Document Classification
Supported
Image Segmentation
Supported
ML Algorithm Library
Not Supported
Model Training
Not Supported
Neural Network Modeling
Not Supported
Self-Learning
Not Supported
Visualization
Not Supported
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Deep Learning Features
Convolutional Neural Networks
Not Supported
Document Classification
Not Supported
Image Segmentation
Not Supported
ML Algorithm Library
Not Supported
Model Training
Supported
Neural Network Modeling
Supported
Self-Learning
Not Supported
Visualization
Supported
Artificial Intelligence Features
Chatbot
Not Supported
For eCommerce
Supported
For Healthcare
Supported
For Sales
Supported
Image Recognition
Not Supported
Machine Learning
Supported
Multi-Language
Not Supported
Natural Language Processing
Not Supported
Predictive Analytics
Supported
Process/Workflow Automation
Not Supported
Rules-Based Automation
Not Supported
Virtual Personal Assistant (VPA)
Not Supported
Big Data Features
Collaboration
Not Supported
Data Blends
Not Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Supported
Data Warehousing
Not Supported
High Volume Processing
Supported
No-Code Sandbox
Not Supported
Predictive Analytics
Supported
Templates
Not Supported
Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Not Supported
Model Training
Supported
Natural Language Processing (NLP)
Not Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Not Supported
Visualization
Supported
Predictive Analytics Features
AI / Machine Learning
Supported
Benchmarking
Not Supported
Data Blending
Not Supported
Data Mining
Supported
Demand Forecasting
Supported
For Education
Supported
For Healthcare
Supported
Modeling & Simulation
Supported
Sentiment Analysis
Not Supported
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Integrations
No info available.
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Integrations
No info available.
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