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
Niccah M.
- Role: Information Technology
- Industry: Healthcare
- Involvement: End User of Application
Submitted Oct 2022
Productive Learning Solution for Businesses.
Likeliness to Recommend
What differentiates TensorFlow from other similar products?
TensorFlow is manageable in delivering quality information through solid training.
What is your favorite aspect of this product?
TensorFlow uses credible machines to offer required training for busiensss.
What do you dislike most about this product?
TensorFlow has enhanced different structures for business development through information sharing.
What recommendations would you give to someone considering this product?
TensorFlow is more appealing in delivering quality details and business learning.
Pros
- Trustworthy
- Unique Features
- Effective Service
- Inspires Innovation
Vijay I.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Aug 2022
Best deep learning library for AI applications.
Likeliness to Recommend
What differentiates TensorFlow from other similar products?
TensorFlow has it’s unique data processing using it’s own variable called tensors, which makes the computations efficient and faster. It has many advanced algorithms useful for Machine learning and Deep learning model developments. These algorithms gives better accuracy than any other classical algorithms. If anyone wants to implement a neural network model for NLP or computer vision applications tensorflow & tensorflow lite are the better choices.
What is your favorite aspect of this product?
I love the data visualisation tools available on tensorflow called is tensorflow embedding projector. This is really useful when implementing any model we can check the accuracy of the model and adjust model parameters based on the metrics shown. Tensorflow algorithms has better prediction accuracy.
What do you dislike most about this product?
Tensorflow usually needs more ram & storage to install it on any device or server. This makes the system slow if we have low end specifications laptop. Tensorflow should have cloud options to take up less ram when running any algorithm. Also we need more training before starting with tensorflow otherwise debugging will be difficult.
What recommendations would you give to someone considering this product?
Better to have high end laptop if anyone wants to train a ML model using tensorflow otherwise the system will hang. If anyone wants to implement a high accuracy ML model you should definitely consider tensorflow algorithms. Also get enough training and understanding using the documentation available on tensorflow before implementing any model.
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Trustworthy
Achal V.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Aug 2022
Great product from Google
Likeliness to Recommend
What differentiates TensorFlow from other similar products?
TensorFlow really helps you with neural networks and makes it really easy to work with different types of neural networks like CNN, RNN, and ANN.
What is your favorite aspect of this product?
Support for APIs like eager execution and Keras makes it easier to build models and train models
What do you dislike most about this product?
You are dependant lot on google and also you need heavy GPUs to build and train the model
What recommendations would you give to someone considering this product?
Go for it, great to start with machine learning and neural networks for beginners.
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Trustworthy
