Eclipse Foundation Inc

Eclipse Deeplearning4j

7.8 /10

What is Eclipse Deeplearning4j?

Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.

Company Details

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Eclipse Deeplearning4j Ratings

Real user data aggregated to summarize the product performance and customer experience.

86 Likeliness to Recommend

79 Plan to Renew

86 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+99 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Eclipse Deeplearning4j?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 85

Data Exploration and Visualization

Model Tuning

Performance and Scalability

Model Training

Data Pre-Processing

Algorithm Recommendation

Feature Engineering

Data Labeling

Pre-Packaged AI/ML Services

Data Ingestion

Ensembling

Vendor Capability Ratings

Average 83

Availability and Quality of Training

100

Breadth of Features

100

Business Value Created

100

Ease of Customization

100

Ease of Data Integration

100

Ease of Implementation

100

Ease of IT Administration

100

Product Strategy and Rate of Improvement

100

Quality of Features

100

Usability and Intuitiveness

100

Vendor Support

Eclipse Deeplearning4j Reviews

Ranjeet Y.

Role: Information Technology
Industry: Engineering
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2024

"Powerful Deep Learning Library

Likeliness to Recommend

9 /10

What differentiates Eclipse Deeplearning4j from other similar products?

DL4J is built on top of Java Virtual Machine (JVM), making it compatible with Java and other JVM languages like Scala and Kotlin.

What is your favorite aspect of this product?

Eclipse Deeplearning4j that is often praised is its versatility and compatibility with the Java ecosystem.

What do you dislike most about this product?

i dont have any dislke.

What recommendations would you give to someone considering this product?

Evaluate your specific requirements and use cases for deep learning.

Pros

Effective Service
Acts with Integrity
Client's Interest First
Includes Product Enhancements

Kumar A.

Role: Information Technology
Industry: Engineering
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2024

Awesome Product

Likeliness to Recommend

9 /10

What differentiates Eclipse Deeplearning4j from other similar products?

Eclipse Deeplearning4j's unique Java-based architecture offers seamless integration with existing enterprise systems and extensive support for distributed computing, setting it apart from other frameworks.

What is your favorite aspect of this product?

appreciate Eclipse Deeplearning4j's robust Java-based architecture and its extensive support for distributed computing.

What do you dislike most about this product?

i have no dislike

What recommendations would you give to someone considering this product?

I would recommend exploring Eclipse Deeplearning4j for its strong Java-based architecture, extensive support for distributed computing, and active community, ensuring comprehensive resources and scalability for deep learning projects.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Niharika M.

Role: Information Technology
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2024

best for learning deep learning model

Likeliness to Recommend

10 /10

What differentiates Eclipse Deeplearning4j from other similar products?

easy to learn deep learning terms and other deployment parts as well.

What is your favorite aspect of this product?

the model training and collaborating with the real time performance.

What do you dislike most about this product?

nothing to dislike, but pricing it'll occur anyway. I'm good

What recommendations would you give to someone considering this product?

i'll recommend it to all my friends and corporates too.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Eclipse Deeplearning4j

What is Eclipse Deeplearning4j?

Company Details

Need Assistance?

Eclipse Deeplearning4j Ratings

86 Likeliness to Recommend

79 Plan to Renew

86 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+99 Net Emotional Footprint

How much do users love Eclipse Deeplearning4j?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Model Tuning 'Ability to fine-tune models based on monitoring feedback within the platform.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Model Training Ability to train a model with a range of data sets that you provide.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Feature Engineering Ability to extract and build features from raw data.

Data Labeling Ability to annotate/ label data to create a training data set.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Ensembling 'Ability to combine ML models for best results.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Eclipse Deeplearning4j Reviews

Ranjeet Y.

"Powerful Deep Learning Library

Likeliness to Recommend

Pros

Kumar A.

Awesome Product

Likeliness to Recommend

Pros

Niharika M.

best for learning deep learning model

Likeliness to Recommend

Pros

Feature Ratings

Data Exploration and Visualization

Model Tuning

Performance and Scalability

Model Training

Data Pre-Processing

Algorithm Recommendation

Feature Engineering

Data Labeling

Pre-Packaged AI/ML Services

Data Ingestion

Ensembling

Vendor Capability Ratings

Availability and Quality of Training

Breadth of Features

Business Value Created

Ease of Customization

Ease of Data Integration

Ease of Implementation

Ease of IT Administration

Product Strategy and Rate of Improvement

Quality of Features

Usability and Intuitiveness

Vendor Support