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What is ZebraZapps?

Discover the groundbreaking features of ZebraZapps' unique visual editor, which empowers you to create and deploy mobile applications that possess true interactivity, eliminating the reliance on a browser or player—it's a genuine app! Crafted by Michael Allen and Allen Interactions, ZebraZapps marks a revolutionary step forward in the field of e-learning. This powerful authoring and publishing tool fosters collaboration among creators, enabling them to design, launch, and share influential learning experiences using a sophisticated visual editing interface. The creative journey begins with brainstorming, and within ZebraZapps, your initial concepts can rapidly evolve into fully interactive components! You have the ability to animate your sketched objects to interact with one another and later replace them with polished final media. With the unmatched visual editor of ZebraZapps, the scope of your creativity can truly expand! Engage your audience, captivate their attention, and keep them interested without restrictions—only your imagination can limit the interactions you wish to create. As you delve deeper into this platform, you will uncover limitless opportunities to craft impactful learning experiences that resonate. Whether you're a novice or an experienced developer, ZebraZapps offers a space where innovative ideas can come to life.

What is Zebra by Mipsology?

Mipsology's Zebra serves as an ideal computing engine for Deep Learning, specifically tailored for the inference of neural networks. By efficiently substituting or augmenting current CPUs and GPUs, it facilitates quicker computations while minimizing power usage and expenses. The implementation of Zebra is straightforward and rapid, necessitating no advanced understanding of the hardware, special compilation tools, or alterations to the neural networks, training methodologies, frameworks, or applications involved. With its remarkable ability to perform neural network computations at impressive speeds, Zebra sets a new standard for industry performance. Its adaptability allows it to operate seamlessly on both high-throughput boards and compact devices. This scalability guarantees adequate throughput in various settings, whether situated in data centers, on the edge, or within cloud environments. Moreover, Zebra boosts the efficiency of any neural network, including user-defined models, while preserving the accuracy achieved with CPU or GPU-based training, all without the need for modifications. This impressive flexibility further enables a wide array of applications across different industries, emphasizing its role as a premier solution in the realm of deep learning technology. As a result, organizations can leverage Zebra to enhance their AI capabilities and drive innovation forward.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Caffe
TensorFlow

Integrations Supported

Amazon Web Services (AWS)
Caffe
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Allen Interactions

Company Website

www.zebrazapps.info/

Company Facts

Organization Name

Mipsology

Company Location

United States

Company Website

mipsology.com

Categories and Features

Course Authoring

Content Import / Export
Course Publishing
Gamification
Instructor-Led Courses
Interactive Content
PowerPoint Conversion
Self-Paced Courses
Storyboarding
Template Management
Test / Quiz Creation
Video Management

Categories and Features

Deep Learning

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

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