Introducing G2.ai, the future of software buying.Try now

Best Artificial Neural Network Software - Page 3

Tian Lin
TL
Researched and written by Tian Lin

Artificial neural networks (ANN) are computational models designed to mimic the neural networks found in the human brain. They adapt to new information and learn to make decisions based on it, theoretically mirroring human decision-making processes. ANNs are widely used across various industries, including healthcare, finance, automotive, and technology, to automate complex tasks, enhance decision-making, and improve operational efficiency.

ANNs require a data pool as a baseline for learning. The more data they have, the more connections they can establish. This, in turn, enhances their learning capabilities. As ANNs learn, they can consistently provide accurate outputs aligned with user-defined solutions. Businesses use ANNs for predictive analytics, anomaly detection, customer behavior analysis, and more.

A subset of ANNs is deep neural networks (DNN). They are characterized by multiple hidden layers between the input and output layers. These networks are essential for building intelligent applications with deep learning functionalities like image recognition, natural language processing (NLP), and voice recognition. DNNs are particularly useful in applications requiring high accuracy and the ability to learn complex patterns from large datasets.

ANNs form the foundation for various deep learning algorithms, including but not limited to image recognition, NLP, voice recognition, autonomous systems, recommendation engines, and generative models. For example, in healthcare, ANNs help in diagnosing diseases from medical images, while in finance, they are used for fraud detection and risk management.

To qualify for inclusion in the Artificial Neural Networks category, a product must:

Provide a network based on interconnected neural units to enable learning capabilities
Offer a backbone for deeper learning algorithms, including DNNs with multiple hidden layers
Link to data sources to feed the neural network information
Support model training, testing, and evaluation processes
Integrate with other machine learning (ML) and AI tools and frameworks
Enable scalability to handle large datasets and complex computations
Include documentation and support resources for users
Show More
Show Less

Best Artificial Neural Network Software At A Glance

Leader:
Easiest to Use:
Top Trending:
Best Free Software:
Show LessShow More
Top Trending:
Best Free Software:

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

Coming Soon
Get Trending Artificial Neural Network Products in Your Inbox

A weekly snapshot of rising stars, new launches, and what everyone's buzzing about.

Sample Trending Products Newsletter
No filters applied
72 Listings in Artificial Neural Network Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MLKit is a machine learning framework written in Swift that features machine learning algorithms that deal with the topic of regression to provide developers with a toolkit to create products that can

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Small-Business
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MLKit Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Integrations
    1
    Model Variety
    1
    Usage Frequency
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLKit features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.1
    9.2
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MLKit
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MLKit is a machine learning framework written in Swift that features machine learning algorithms that deal with the topic of regression to provide developers with a toolkit to create products that can

Users
No information available
Industries
No information available
Market Segment
  • 46% Small-Business
  • 31% Mid-Market
MLKit Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Integrations
1
Model Variety
1
Usage Frequency
1
Cons
This product has not yet received any negative sentiments.
MLKit features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.1
9.2
Quality of Support
Average: 8.0
Seller Details
Seller
MLKit
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BrainCore is a neural network framework written in Swift that uses Metal which makes it fast.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BrainCore features and usability ratings that predict user satisfaction
    6.7
    Ease of Use
    Average: 8.1
    10.0
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BrainCore
    HQ Location
    Hilton Head Island, SC
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BrainCore is a neural network framework written in Swift that uses Metal which makes it fast.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
BrainCore features and usability ratings that predict user satisfaction
6.7
Ease of Use
Average: 8.1
10.0
Quality of Support
Average: 8.0
Seller Details
Seller
BrainCore
HQ Location
Hilton Head Island, SC
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 150% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Neurolab features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Neurolab
    HQ Location
    Asheville, NC
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.

Users
No information available
Industries
No information available
Market Segment
  • 150% Small-Business
Neurolab features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
Seller Details
Seller
Neurolab
HQ Location
Asheville, NC
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Open Neural Network Exchange (ONNX) features and usability ratings that predict user satisfaction
    7.5
    Ease of Use
    Average: 8.1
    6.7
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @hyperledger
    265 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    95 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
Open Neural Network Exchange (ONNX) features and usability ratings that predict user satisfaction
7.5
Ease of Use
Average: 8.1
6.7
Quality of Support
Average: 8.0
Seller Details
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@hyperledger
265 Twitter followers
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RustNN features and usability ratings that predict user satisfaction
    5.8
    Ease of Use
    Average: 8.1
    6.7
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    RustNN
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
RustNN features and usability ratings that predict user satisfaction
5.8
Ease of Use
Average: 8.1
6.7
Quality of Support
Average: 8.0
Seller Details
Seller
RustNN
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SwiftLearner is a scala machine learning library that is easier to follow than the optimized libraries, and easier to tweak it use plain Java types and have few or no dependencies.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SwiftLearner features and usability ratings that predict user satisfaction
    7.5
    Ease of Use
    Average: 8.1
    8.3
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SwiftLearner is a scala machine learning library that is easier to follow than the optimized libraries, and easier to tweak it use plain Java types and have few or no dependencies.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
SwiftLearner features and usability ratings that predict user satisfaction
7.5
Ease of Use
Average: 8.1
8.3
Quality of Support
Average: 8.0
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(2)5.0 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ultralytics is a prominent player in the field of vision AI, specializing in advanced computer vision solutions through its innovative YOLO (You Only Look Once) models. Designed to assist users in var

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Ultralytics Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Deployment Ease
    2
    Ease of Use
    2
    Efficiency
    2
    AI Technology
    1
    Automation
    1
    Cons
    Poor Documentation
    2
    AI Limitations
    1
    Confusing Documentation
    1
    Deployment Issues
    1
    Insufficient Learning Resources
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Ultralytics features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.1
    9.2
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2022
    HQ Location
    5001 Judicial Way Frederick, MD 21703, USA
    Twitter
    @ultralytics
    5,823 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ultralytics is a prominent player in the field of vision AI, specializing in advanced computer vision solutions through its innovative YOLO (You Only Look Once) models. Designed to assist users in var

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Ultralytics Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Deployment Ease
2
Ease of Use
2
Efficiency
2
AI Technology
1
Automation
1
Cons
Poor Documentation
2
AI Limitations
1
Confusing Documentation
1
Deployment Issues
1
Insufficient Learning Resources
1
Ultralytics features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.1
9.2
Quality of Support
Average: 8.0
Seller Details
Company Website
Year Founded
2022
HQ Location
5001 Judicial Way Frederick, MD 21703, USA
Twitter
@ultralytics
5,823 Twitter followers
LinkedIn® Page
www.linkedin.com
37 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AForge.NET features and usability ratings that predict user satisfaction
    6.7
    Ease of Use
    Average: 8.1
    7.5
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AForge.MachineLearning is a namespace that contains interfaces and classes for different algorithms of machine learning.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
AForge.NET features and usability ratings that predict user satisfaction
6.7
Ease of Use
Average: 8.1
7.5
Quality of Support
Average: 8.0
Seller Details
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    REVOLUTIONIZING ARTIFICIAL INTELLIGENCE AT THE EDGE

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BrainChip features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.1
    8.3
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BrainChip
    Year Founded
    2013
    HQ Location
    Laguna Hills, US
    LinkedIn® Page
    www.linkedin.com
    66 employees on LinkedIn®
    Ownership
    ASX: BRN
Product Description
How are these determined?Information
This description is provided by the seller.

REVOLUTIONIZING ARTIFICIAL INTELLIGENCE AT THE EDGE

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
BrainChip features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.1
8.3
Quality of Support
Average: 8.0
Seller Details
Seller
BrainChip
Year Founded
2013
HQ Location
Laguna Hills, US
LinkedIn® Page
www.linkedin.com
66 employees on LinkedIn®
Ownership
ASX: BRN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Nano Dimension (Nasdaq: NNDM) is a provider of intelligent machines for the fabrication of Additively Manufactured Electronics (AME). High fidelity active electronic and electromechanical subassemblie

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DeepCube features and usability ratings that predict user satisfaction
    5.0
    Ease of Use
    Average: 8.1
    6.7
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DeepCube
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Nano Dimension (Nasdaq: NNDM) is a provider of intelligent machines for the fabrication of Additively Manufactured Electronics (AME). High fidelity active electronic and electromechanical subassemblie

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
  • 100% Small-Business
DeepCube features and usability ratings that predict user satisfaction
5.0
Ease of Use
Average: 8.1
6.7
Quality of Support
Average: 8.0
Seller Details
Seller
DeepCube
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deep Java Library is an open-source, high-level, engine-agnostic Java framework for deep learning. Designed to provide a native Java development experience, DJL enables developers to build, train, and

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deep Java Library (DJL) features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.1
    8.3
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Deep Java Library is an open-source, high-level, engine-agnostic Java framework for deep learning. Designed to provide a native Java development experience, DJL enables developers to build, train, and

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Deep Java Library (DJL) features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.1
8.3
Quality of Support
Average: 8.0
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Exafunction optimizes your deep learning inference workload, delivering up to a 10x improvement in resource utilization and cost. Focus on building your deep learning application, not on managing clus

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Exafunction features and usability ratings that predict user satisfaction
    6.7
    Ease of Use
    Average: 8.1
    10.0
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Mountain View, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Exafunction optimizes your deep learning inference workload, delivering up to a 10x improvement in resource utilization and cost. Focus on building your deep learning application, not on managing clus

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Exafunction features and usability ratings that predict user satisfaction
6.7
Ease of Use
Average: 8.1
10.0
Quality of Support
Average: 8.0
Seller Details
Year Founded
2021
HQ Location
Mountain View, US
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod was originally developed by Uber to make distributed deep learning fast and easy to

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Horovod features and usability ratings that predict user satisfaction
    5.0
    Ease of Use
    Average: 8.1
    5.0
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @hyperledger
    265 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    95 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod was originally developed by Uber to make distributed deep learning fast and easy to

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Horovod features and usability ratings that predict user satisfaction
5.0
Ease of Use
Average: 8.1
5.0
Quality of Support
Average: 8.0
Seller Details
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@hyperledger
265 Twitter followers
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MindsDB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Coding Ease
    1
    Ease of Use
    1
    Machine Learning
    1
    Powerful
    1
    Predictive Modeling
    1
    Cons
    Learning Curve
    1
    Limited Customization
    1
    Required Knowledge
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MindsDB features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.1
    5.0
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MindsDB
    Year Founded
    2017
    HQ Location
    Berkeley, US
    Twitter
    @MindsDB
    78,517 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    47 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
MindsDB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Coding Ease
1
Ease of Use
1
Machine Learning
1
Powerful
1
Predictive Modeling
1
Cons
Learning Curve
1
Limited Customization
1
Required Knowledge
1
MindsDB features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.1
5.0
Quality of Support
Average: 8.0
Seller Details
Seller
MindsDB
Year Founded
2017
HQ Location
Berkeley, US
Twitter
@MindsDB
78,517 Twitter followers
LinkedIn® Page
www.linkedin.com
47 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Zebra by Mipsology is the ideal Deep Learning compute engine for neural network inference. Zebra seamlessly replaces or complements CPUs/GPUs, allowing any neural network to compute faster, with lower

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mipsology features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.1
    8.3
    Quality of Support
    Average: 8.0
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AMD
    Year Founded
    1969
    HQ Location
    Santa Clara, California
    LinkedIn® Page
    www.linkedin.com
    48,759 employees on LinkedIn®
    Ownership
    NASDAQ: AMD
Product Description
How are these determined?Information
This description is provided by the seller.

Zebra by Mipsology is the ideal Deep Learning compute engine for neural network inference. Zebra seamlessly replaces or complements CPUs/GPUs, allowing any neural network to compute faster, with lower

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Mipsology features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.1
8.3
Quality of Support
Average: 8.0
Seller Details
Seller
AMD
Year Founded
1969
HQ Location
Santa Clara, California
LinkedIn® Page
www.linkedin.com
48,759 employees on LinkedIn®
Ownership
NASDAQ: AMD