Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ConvNetJS is a JavaScript library designed for training deep learning models, specifically neural networks, directly in your web browser. With just a simple tab open, you can start the training process without needing any software installations, compilers, or even GPUs—it's that hassle-free. The library enables users to create and implement neural networks using JavaScript and was initially developed by @karpathy, but it has since been enhanced through community contributions, which are greatly encouraged. For those who want a quick and easy way to access the library without delving into development, you can download the minified version via the link to convnet-min.js. Alternatively, you can opt to get the latest version from GitHub, where the file you'll likely want is build/convnet-min.js, which includes the complete library. To get started, simply create a basic index.html file in a designated folder and place build/convnet-min.js in the same directory to begin experimenting with deep learning in your browser. This approach allows anyone, regardless of their technical background, to engage with neural networks effortlessly.
Description
In 2021, we launched our research-grade neural networks specifically for SEO link building, and the outcomes exceeded all expectations. With a training phase that included 15 test clients, the results were astonishingly effective.
Gone are the days of struggling to come up with innovative and effective methods for constructing authoritative backlink profiles, as well as the extensive link profile audits that used to consume so much time. We now produce insights in mere seconds that previously took days or even weeks to uncover.
Our neural network is capable of generating the most data-driven link-building strategies available globally, merging content partnerships with over 100,000 publishers through advanced algorithms. In less than 20 seconds, we can identify the most prestigious publications that are best suited for your needs.
Previously, the concept of authority link-building was fraught with challenges, requiring significant manual effort and filled with uncertainties, such as determining who would grant authority and whether that authority was credible.
With our cutting-edge AI-driven SEO technology, we have revolutionized this process, providing a reliable and efficient solution for link-building challenges. As a result, businesses can now focus more on their core operations while we handle the complexities of SEO link building.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Qwen3-Omni
No
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
No
Mac
No
Linux
No
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
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ConvNetJS
Website
cs.stanford.edu/people/karpathy/convnetjs/
Vendor Details
Company Name
VikingLinks
Founded
2021
Country
The Netherlands
Website
www.vikinglinks.com
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
SEO
A/B Testing
No
Artificial Intelligence (AI)
No
Auditing
No
Competitor Analysis
No
Content Management
No
Dashboard
No
Google Analytics Integration
No
Keyword Research Tools
No
Keyword Tracking
No
Link Management
No
Localization
No
Mobile Search Tracking
No
Rank Tracking
No
Revenue Management
No
User Management
No