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Description
ConnectShip Toolkit boasts remarkable flexibility, making it suitable for integration with almost any business system. While the following list highlights several systems, it is important to note that it is not exhaustive. Renowned throughout the industry for its robustness and scalability, ConnectShip Toolkit serves as a comprehensive server-based shipping API. This toolkit seamlessly integrates with various systems, including TMS, WMS, ERP, order management, and e-commerce platforms, utilizing standard interfaces like .NET, XML web services, and COM. It supports both Windows and non-Windows environments, providing limitless customization and scalability options for users. Additionally, Toolkit Cloud facilitates online access to the ConnectShip Toolkit API without the need for a dedicated onsite server, thereby minimizing IT resource demands. The availability of Toolkit Cloud on a pay-as-you-go basis further alleviates the burden of initial investment costs, making it an appealing choice for businesses of all sizes. Ultimately, the versatility and accessibility of ConnectShip Toolkit make it a valuable asset in today's dynamic marketplace.
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.
API Access
Has API
API Access
Has API
Integrations
AI Skills Navigator
Alteryx
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
BukuShip
ChimpKey
ConnectPointz
Microsoft Dynamics 365 Finance
Integrations
AI Skills Navigator
Alteryx
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
BukuShip
ChimpKey
ConnectPointz
Microsoft Dynamics 365 Finance
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ConnectShip
Founded
1980
Country
United States
Website
www.connectship.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
docs.microsoft.com/en-us/cognitive-toolkit/
Product Features
Shipping
Air Shipping
Bills of Lading
Container Shipping
Freight Shipping
Ground Shipping
Import / Export
Ocean Shipping
Parcel Shipping
Quotes / Estimates
Shipment Tracking
Warehouse Management
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
