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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.

Company Details

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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

Breadth of Features

100

Business Value Created

100

Ease of Customization

100

Ease of Implementation

100

Ease of IT Administration

100

Quality of Features

100

Usability and Intuitiveness

100

Vendor Support

100

Product Strategy and Rate of Improvement

Ease of Data Integration

Availability and Quality of Training

TensorFlow Reviews

Shashank S.

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

Validated Review

Verified Reviewer

Submitted Jan 2023

Easy to use, best for product development

Likeliness to Recommend

10 /10

What differentiates TensorFlow from other similar products?

Industry leader with constantly evolving functionalities.

What is your favorite aspect of this product?

Tutorials and clear support for all features

What do you dislike most about this product?

Nothing to dislike

What recommendations would you give to someone considering this product?

Definitely go for it

Pros

Reliable
Saves Time
Altruistic
Over Delivered

Akash G.

Role: Consultant
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2023

Its a fantastic machine learning framework

Likeliness to Recommend

10 /10

What differentiates TensorFlow from other similar products?

Its features and debugging options.

What is your favorite aspect of this product?

My fav aspect is visualization

What do you dislike most about this product?

Its not easy to learn

What recommendations would you give to someone considering this product?

Its a fantastic product, you can use both pytorch and tensorflow.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Narsrah L.

Role: Operations
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2022

Powerful Information Management Approach.

Likeliness to Recommend

10 /10

What differentiates TensorFlow from other similar products?

TensorFlow delivers stable options for machine learning and this brings extra results

What is your favorite aspect of this product?

TensorFlow is organized in accommodating different systems for information control.

What do you dislike most about this product?

TensorFlow defines the proficiency of every information in a company.

What recommendations would you give to someone considering this product?

TensorFlow is more manageable in enhancing information growth.

Pros

Continually Improving Product
Enables Productivity
Trustworthy
Efficient Service

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

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 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.

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.

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.

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

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.

TensorFlow Reviews

Shashank S.

Easy to use, best for product development

Likeliness to Recommend

Pros

Akash G.

Its a fantastic machine learning framework

Likeliness to Recommend

Pros

Narsrah L.

Powerful Information Management Approach.

Likeliness to Recommend

Pros

Most Popular TensorFlow Comparisons

Google Cloud Vertex AI

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Databricks Data Intelligence Platform

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

Breadth of Features

Business Value Created

Ease of Customization

Ease of Implementation

Ease of IT Administration

Quality of Features

Usability and Intuitiveness

Vendor Support

Product Strategy and Rate of Improvement

Ease of Data Integration

Availability and Quality of Training