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
Torch is a powerful framework for scientific computing that prioritizes GPU utilization and offers extensive support for various machine learning algorithms. Its user-friendly design is enhanced by LuaJIT, a fast scripting language, alongside a robust C/CUDA backbone that ensures efficiency. The primary aim of Torch is to provide both exceptional flexibility and speed in the development of scientific algorithms, all while maintaining simplicity in the process. With a rich array of community-driven packages, Torch caters to diverse fields such as machine learning, computer vision, signal processing, and more, effectively leveraging the resources of the Lua community. Central to Torch's functionality are its widely-used neural network and optimization libraries, which strike a balance between ease of use and flexibility for crafting intricate neural network architectures. Users can create complex graphs of neural networks and efficiently distribute the workload across multiple CPUs and GPUs, thereby optimizing performance. Overall, Torch serves as a versatile tool for researchers and developers aiming to advance their work in various computational domains.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AI Skills Navigator
Yes
Alteryx
Yes
AssurX
Yes
AuraQuantic
Yes
Azure Data Science Virtual Machines
Yes
Azure Database for MariaDB
Yes
Hetman Internet Spy
No
LeaderGPU
No
Microsoft Dynamics 365 Finance
Yes
Microsoft Dynamics Supply Chain Management
Yes
Integrations
AI Skills Navigator
No
Alteryx
No
AssurX
No
AuraQuantic
No
Azure Data Science Virtual Machines
No
Azure Database for MariaDB
No
Hetman Internet Spy
Yes
LeaderGPU
Yes
Microsoft Dynamics 365 Finance
No
Microsoft Dynamics Supply Chain Management
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
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
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
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
Torch
Website
torch.ch/
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
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No