Microsoft Cognitive Toolkit
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What is Microsoft Cognitive Toolkit?
The Microsoft Cognitive Toolkit (CNTK) is an open-source framework that facilitates high-performance distributed deep learning applications. It models neural networks using a series of computational operations structured in a directed graph format. Developers can easily implement and combine numerous well-known model architectures such as feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). By employing stochastic gradient descent (SGD) and error backpropagation learning, CNTK supports automatic differentiation and allows for parallel processing across multiple GPUs and server environments. The toolkit can function as a library within Python, C#, or C++ applications, or it can be used as a standalone machine-learning tool that utilizes its own model description language, BrainScript. Furthermore, CNTK's model evaluation features can be accessed from Java applications, enhancing its versatility. It is compatible with 64-bit Linux and 64-bit Windows operating systems. Users have the flexibility to either download pre-compiled binary packages or build the toolkit from the source code available on GitHub, depending on their preferences and technical expertise. This broad compatibility and adaptability make CNTK an invaluable resource for developers aiming to implement deep learning in their projects, ensuring that they can tailor their tools to meet specific needs effectively.
What is Blue Hexagon?
Our state-of-the-art real-time deep learning system is designed to achieve unmatched levels of detection speed, efficiency, and extensive coverage in the realm of cyber defense. We carefully train our neural networks utilizing a diverse spectrum of global threat intelligence sourced from various channels, including threat databases, the dark web, our own systems, and collaborative partnerships. Much like how layers in neural networks can identify images, our innovative neural network architecture adeptly identifies threats in both payloads and headers. Blue Hexagon Labs conducts thorough evaluations of our models' accuracy in the face of emerging threats in real-time, guaranteeing their reliability and precision. Our technology excels at detecting a wide array of cyber threats, encompassing file-based and fileless malware, exploits, command and control communications, and malicious domains across different operating systems such as Windows, Android, and Linux. Deep learning, a specialized field within machine learning, utilizes complex, multi-layered artificial neural networks to proficiently learn and represent data. As the cyber threat landscape continuously evolves, our platform is regularly updated to tackle new challenges and uphold its leading-edge capabilities. This ongoing commitment to innovation enables us to stay ahead of potential threats and safeguard digital environments effectively.
Integrations Supported
AI Skills Navigator
Alteryx
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
Integrations Supported
Amazon Web Services (AWS)
GigaSECURE
Gigamon
Kubernetes
API Availability
Has API
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Windows
Supported Platforms
SaaS
Android
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
docs.microsoft.com/en-us/cognitive-toolkit/
Company Facts
Organization Name
Blue Hexagon
Date Founded
2017
Company Location
United States
Company Website
bluehexagon.ai/products/
Categories and Features
Deep Learning
Convolutional Neural Networks
Neural Network
Not specified
Categories and Features
AI Security
Not specified
Threat Intelligence
Not specified