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Average Ratings 0 Ratings
Description
The VLFeat open source library offers a range of well-known algorithms focused on computer vision, particularly for tasks such as image comprehension and the extraction and matching of local features. Among its various algorithms are Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, the agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, and large scale SVM training, among many others. Developed in C to ensure high performance and broad compatibility, it also has MATLAB interfaces that enhance user accessibility, complemented by thorough documentation. This library is compatible with operating systems including Windows, Mac OS X, and Linux, making it widely usable across different platforms. Additionally, MatConvNet serves as a MATLAB toolbox designed specifically for implementing Convolutional Neural Networks (CNNs) tailored for various computer vision applications. Known for its simplicity and efficiency, MatConvNet is capable of running and training cutting-edge CNNs, with numerous pre-trained models available for tasks such as image classification, segmentation, face detection, and text recognition. The combination of these tools provides a robust framework for researchers and developers in the field of computer vision.
Description
Sharky Neural Network is a user-friendly Windows application that provides an engaging and interactive way to explore the fundamentals of machine learning. This complimentary software acts as an experimental playground where users can engage in real-time neural network classification tasks.
Rather than using conventional static graphs, Sharky features a "live view" that allows users to observe the network's classification boundaries adjust dynamically, resembling a cinematic experience on the screen.
Users have the flexibility to change network architectures and data configurations, allowing them to see firsthand how different topologies influence outcomes. The application employs the backpropagation algorithm, complete with an optional momentum feature, granting users direct influence over the dynamics of the learning process.
Ideal for both students and enthusiasts, Sharky Neural Network simplifies the complexities of hidden layers and data clustering, making these concepts accessible. Overall, it serves as a lightweight yet powerful tool that effectively connects theoretical understanding with practical application, enhancing the learning experience for all users.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
VLFeat
Country
United States
Website
www.vlfeat.org/matconvnet/
Vendor Details
Company Name
SharkTime Software
Founded
2018
Country
Poland
Website
www.sharktime.com
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
Yes
Image Segmentation
Yes
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No