Ratings and Reviews 3 Ratings

Total
ease
features
design
support

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    355 Ratings
    Company Website
  • ActCAD Software Reviews & Ratings
    401 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Resco Mobile App Development Toolkit Reviews & Ratings
    2 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,105 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    168 Ratings
    Company Website
  • NetBrain Reviews & Ratings
    247 Ratings
    Company Website

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 DataMelt?

DataMelt, commonly referred to as "DMelt," is a versatile environment designed for numerical computations, data analysis, data mining, and computational statistics. It facilitates the plotting of functions and datasets in both 2D and 3D, enables statistical testing, and supports various forms of data analysis, numeric computations, and function minimization. Additionally, it is capable of solving linear and differential equations, and provides methods for symbolic, linear, and non-linear regression. The Java API included in DataMelt integrates neural network capabilities alongside various data manipulation techniques utilizing different algorithms. Furthermore, it offers support for symbolic computations through Octave/Matlab programming elements. As a computational environment based on a Java platform, DataMelt is compatible with multiple operating systems and supports various programming languages, distinguishing it from other statistical tools that often restrict users to a single language. This software uniquely combines Java, the most prevalent enterprise language globally, with popular data science scripting languages such as Jython (Python), Groovy, and JRuby, thereby enhancing its versatility and user accessibility. Consequently, DataMelt emerges as an essential tool for researchers and analysts seeking a comprehensive solution for complex data-driven tasks.

Media

Media

Integrations Supported

AI Skills Navigator
Alteryx
Apache NetBeans
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
Eclipse BIRT
Microsoft Dynamics 365 Finance
Microsoft Dynamics Supply Chain Management
Microsoft Power Platform

Integrations Supported

AI Skills Navigator
Alteryx
Apache NetBeans
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
Eclipse BIRT
Microsoft Dynamics 365 Finance
Microsoft Dynamics Supply Chain Management
Microsoft Power Platform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site 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

jWork.ORG

Date Founded

2005

Company Location

United States

Company Website

datamelt.org

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Popular Alternatives

Popular Alternatives

Altair Compose Reviews & Ratings

Altair Compose

Altair Engineering
Statistix Reviews & Ratings

Statistix

Analytical Software
Neural Designer Reviews & Ratings

Neural Designer

Artelnics
JMP Statistical Software Reviews & Ratings

JMP Statistical Software

JMP Statistical Discovery