Average Ratings 3 Ratings
Average Ratings 0 Ratings
Description
The Microsoft Cognitive Toolkit (CNTK) is an open-source framework designed for high-performance distributed deep learning applications. It represents neural networks through a sequence of computational operations organized in a directed graph structure. Users can effortlessly implement and integrate various popular model architectures, including feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). CNTK employs stochastic gradient descent (SGD) along with error backpropagation learning, enabling automatic differentiation and parallel processing across multiple GPUs and servers. It can be utilized as a library within Python, C#, or C++ applications, or operated as an independent machine-learning tool utilizing its own model description language, BrainScript. Additionally, CNTK's model evaluation capabilities can be accessed from Java applications, broadening its usability. The toolkit is compatible with 64-bit Linux as well as 64-bit Windows operating systems. For installation, users have the option of downloading pre-compiled binary packages or building the toolkit from source code available on GitHub, which provides flexibility depending on user preferences and technical expertise. This versatility makes CNTK a powerful tool for developers looking to harness deep learning in their projects.
Description
This is a hub for collaborating on the open-source version of the Java platform, standard edition, along with its associated projects. You can download and install the latest open-source JDK, including Oracle’s free OpenJDK JDK 21 binaries, which are licensed under GPL and are production-ready for Linux, macOS, and Windows. Additionally, Oracle offers commercially-licensed JDK 21 binaries that share the same underlying codebase. Users can explore the code online, clone repositories for local modifications, and contribute patches aimed at bug fixes, enhancements to existing components, or the introduction of new features. OpenJDK supplies source code that developers utilize to compile their binaries, meaning users must take on the responsibility of building the code and creating a Java runtime customized for their platforms. Given that the JDK represents a sophisticated software project, constructing it requires a certain level of technical skill, several dependencies on other software, and a computer with adequate processing power. Engaging with OpenJDK not only fosters community collaboration but also enables developers to hone their skills through hands-on experience with a pivotal technology.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AI Skills Navigator
Yes
AWS Marketplace
No
Alteryx
Yes
Amazon Corretto
No
AssurX
Yes
AuraQuantic
Yes
Azure Data Science Virtual Machines
Yes
Azure Database for MariaDB
Yes
Azure Marketplace
No
Java
No
Integrations
AI Skills Navigator
No
AWS Marketplace
Yes
Alteryx
No
Amazon Corretto
Yes
AssurX
No
AuraQuantic
No
Azure Data Science Virtual Machines
No
Azure Database for MariaDB
No
Azure Marketplace
Yes
Java
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
docs.microsoft.com/en-us/cognitive-toolkit/
Vendor Details
Company Name
Oracle
Website
openjdk.org
Product Features
Deep Learning
Convolutional Neural Networks
Yes
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
Application Development
Access Controls/Permissions
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
No
Graphical User Interface
No
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
No
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No