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TensorFlow

9.1 /10

15 Reviews Write a Review

What is TensorFlow?

TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production. TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud. TensorFlow is an end-to-end platform that makes it easy for you to build and deploy ML models.

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TensorFlow Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on TensorFlow.

94 Likeliness to Recommend

100 Plan to Renew

88 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+98 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 TensorFlow?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Feature Ratings

Average 87

Model Training

Pre-Packaged AI/ML Services

Data Ingestion

Model Tuning

Ensembling

Algorithm Diversity

Feature Engineering

Performance and Scalability

Data Exploration and Visualization

Data Pre-Processing

Algorithm Recommendation

Vendor Capability Ratings

Average 83

Ease of Implementation

Ease of Data Integration

Business Value Created

Breadth of Features

Quality of Features

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Vendor Support

Ease of IT Administration

Ease of Customization

TensorFlow Reviews

Tejal K.

Role: Student or Academic
Industry: Engineering
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2021

Brilliant library for Machine Learning models

Likeliness to Recommend

9 /10

What differentiates TensorFlow from other similar products?

TensorFlow library is easy to access and implement, and has a wide range of mathematical tools available for hands-on ML projects.

What is your favorite aspect of this product?

It is suitable for beginners and experts in data analytics alike, and offers a tool (TensorBoard) to directly visualize ML models in the browser itself.

What do you dislike most about this product?

It is slightly difficult to learn but the abundance of resources available to learn it make up for that.

What recommendations would you give to someone considering this product?

It is a highly recommended tool for anyone building machine learning models, and will definitely make your work a lot easier.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Latest Research

TensorFlow

What is TensorFlow?

Company Details

Need Assistance?

TensorFlow Ratings

94 Likeliness to Recommend

100 Plan to Renew

88 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+98 Net Emotional Footprint

How much do users love TensorFlow?

Pros

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

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

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.

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

Ensembling 'Ability to combine ML models for best results.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

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

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

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

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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

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.

TensorFlow Reviews

Tejal K.

Brilliant library for Machine Learning models

Likeliness to Recommend

Pros

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Title

Feature Ratings

Model Training

Pre-Packaged AI/ML Services

Data Ingestion

Model Tuning

Ensembling

Algorithm Diversity

Feature Engineering

Performance and Scalability

Data Exploration and Visualization

Data Pre-Processing

Algorithm Recommendation

Vendor Capability Ratings

Ease of Implementation

Ease of Data Integration

Business Value Created

Breadth of Features

Quality of Features

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Vendor Support

Ease of IT Administration

Ease of Customization