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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Real user data aggregated to summarize the product performance and customer experience.
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94 Likeliness to Recommend
100 Plan to Renew
88 Satisfaction of Cost Relative to Value
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?
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Emotional Footprint
How to Read
Positive
Neutral
Negative
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
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
TensorFlow Reviews
Dipak K.
- Role: Student or Academic
- Industry: Technology
- Involvement: End User of Application
Submitted Mar 2022
Open source, scalable widely used
Likeliness to Recommend
What differentiates TensorFlow from other similar products?
graphical processing support, multiple features in both Linux and windows, Open source and compatible with many commonly used programming languages such as C++, C#, java etc.
What is your favorite aspect of this product?
GPU support, parallelism,
What do you dislike most about this product?
ML and deep learning applications
What recommendations would you give to someone considering this product?
must use if you are working in ML and deep learning projects. Many online tutorials and course materials available freely
Pros
- Reliable
- Inspires Innovation
- Helps Innovate
- Continually Improving Product
Ashay S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Mar 2022
Outstanding product | worth the cost
Likeliness to Recommend
What differentiates TensorFlow from other similar products?
Client friendly
What is your favorite aspect of this product?
The best aspect is obviously the level of security
What do you dislike most about this product?
Learning curve is steep
What recommendations would you give to someone considering this product?
I would say to give this product a must try if you are looking in the same range
Pros
- Enables Productivity
- Respectful
- Acts with Integrity
- Continually Improving Product
Gokul K.
- Role: Student or Academic
- Industry: Engineering
- Involvement: End User of Application
Submitted Feb 2022
Robust Machine Learning Framework
Likeliness to Recommend
What differentiates TensorFlow from other similar products?
Tensorflow is a framework packaged with robust models and functionalities, implemented for the ease-of-access with low code.
What is your favorite aspect of this product?
The fact that Keras was integrated with Tensorflow was turnaround point for me personally, which gave rise to lot of functionality. The growing community of Tensorflow users is really good.
What do you dislike most about this product?
The layers of implementation of the Tensorflow library makes it very slow compared to alternatives like Pytorch and provide less options to work with for Windows users.
What recommendations would you give to someone considering this product?
Weigh in the level of usage and support required for opting for Tensorflow, consider where and how you want to run your models before going for the product
Pros
- Continually Improving Product
- Enables Productivity
- Unique Features
- Effective Service