TensorFlow Pros and Cons: Top 5 Advantages and Disadvantages

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Generated from real user reviews

Users celebrate the flexibility and power of TensorFlow, enabling complex machine learning projects with ease. (23 mentions)

Users praise the end-to-end AI integration of TensorFlow, which enhances project efficiency and flexibility across platforms. (19 mentions)

Users appreciate the ease of use of TensorFlow, benefiting from strong support and comprehensive guides for model training. (19 mentions)

Users appreciate the model variety in TensorFlow, enabling efficient and versatile machine learning across different platforms. (17 mentions)

Users appreciate the scalability of TensorFlow, enabling efficient distributed training across various hardware platforms. (14 mentions)

Users find the steep learning curve of TensorFlow difficult, requiring significant time and effort to master. (25 mentions)

Users find TensorFlow complex and hard to learn, especially when debugging or converting models for embedded applications. (7 mentions)

Users find the difficult learning curve of TensorFlow frustrating, especially when dealing with high-level Keras and deprecated APIs. (7 mentions)

Users find error handling frustrating due to complex messages and difficult debugging processes, especially for beginners. (6 mentions)

Users experience slow performance with TensorFlow, especially when executing complicated models and training larger frameworks. (5 mentions)

5 Pros or Advantages of TensorFlow

1. Machine Learning

Users celebrate the flexibility and power of TensorFlow, enabling complex machine learning projects with ease.

See 23 mentions

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Vibhor J.

Small-Business (50 or fewer emp.)

4.5/5

"TensorFlow Review"

What do you like about TensorFlow?

1. UI is very good with ease of use. 2. One of the best tools for creating and deploying ML models. 3. Anyone new to this platform can easily grasp th

Verified User

Small-Business (50 or fewer emp.)

4.0/5

"Efficient Neural Network Solutions with TensorFlow and Keras Integration"

What do you like about TensorFlow?

I have been using tensorFlow for past 2 months as I have ML in my project ..previously i was using SciKit learn and then my friend recommended me the

2. AI Integration

Users praise the end-to-end AI integration of TensorFlow, which enhances project efficiency and flexibility across platforms.

See 19 mentions

See Related User Reviews

Verified User

Small-Business (50 or fewer emp.)

4.0/5

"Efficient Neural Network Solutions with TensorFlow and Keras Integration"

What do you like about TensorFlow?

I have been using tensorFlow for past 2 months as I have ML in my project ..previously i was using SciKit learn and then my friend recommended me the

Jojo J.

Mid-Market (51-1000 emp.)

4.0/5

"Review about TensorFlow"

What do you like about TensorFlow?

I liked using TensorFlow due to its end-to-end interface. The data model building using Keras to powerful visualization supported the machine learning

3. Ease of Use

Users appreciate the ease of use of TensorFlow, benefiting from strong support and comprehensive guides for model training.

See 19 mentions

See Related User Reviews

Vibhor J.

Small-Business (50 or fewer emp.)

4.5/5

"TensorFlow Review"

What do you like about TensorFlow?

1. UI is very good with ease of use. 2. One of the best tools for creating and deploying ML models. 3. Anyone new to this platform can easily grasp th

Vignan K.

Small-Business (50 or fewer emp.)

4.5/5

"Accelerates Machine Learning Projects with Ease"

What do you like about TensorFlow?

I have used the library for my machine learning applications and it helped to speed up my programming tasks

4. Model Variety

Users appreciate the model variety in TensorFlow, enabling efficient and versatile machine learning across different platforms.

See 17 mentions

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Yadnesh D.

Enterprise (> 1000 emp.)

4.0/5

"Great for Prototyping, but Compatibility Issues with Versions"

What do you like about TensorFlow?

Good for prototyping and rapid model development.

Deepesh V.

Small-Business (50 or fewer emp.)

5.0/5

"Tensorflow for all ML Use Cases"

What do you like about TensorFlow?

Tensorflow with its documentation gives a very easy implementation. Its various models help ease of integration in both web and mobile platforms and i

5. Scalability

Users appreciate the scalability of TensorFlow, enabling efficient distributed training across various hardware platforms.

See 14 mentions

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Ajju B.

Small-Business (50 or fewer emp.)

4.5/5

"Powerful Framework with Comprehensive Ecosystem"

What do you like about TensorFlow?

I appreciate TensorFlow for its scalability and flexibility, especially through high-level APIs like Keras, which simplify complex processes and make

Ben F.

Small-Business (50 or fewer emp.)

4.0/5

"Scalable and Flexible, But Needs Better Windows Support"

What do you like about TensorFlow?

I appreciate TensorFlow for its scalability and flexibility, which makes it adept at handling both small and large-scale machine learning projects. I

5 Cons or Disadvantages of TensorFlow

1. Steep Learning Curve

Users find the steep learning curve of TensorFlow difficult, requiring significant time and effort to master.

See 25 mentions

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Lekesh M.

Small-Business (50 or fewer emp.)

4.0/5

"Good but complex – great for deep learning"

What do you dislike about TensorFlow?

The learning curve is steep. Especially for beginners. Sometimes the error messages are too complicated to understand and debugging is frustrating. Al

Deepesh V.

Small-Business (50 or fewer emp.)

5.0/5

"Tensorflow for all ML Use Cases"

What do you dislike about TensorFlow?

The learn curve is pretty steep and especially working with high level Keras.

2. Complexity

Users find TensorFlow complex and hard to learn, especially when debugging or converting models for embedded applications.

See 7 mentions

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Ben F.

Small-Business (50 or fewer emp.)

4.0/5

"Scalable and Flexible, But Needs Better Windows Support"

What do you dislike about TensorFlow?

I find TensorFlow's limitations on Windows to be a significant drawback. The Windows version lacks the full feature set available on Linux, which affe

Jojo J.

Mid-Market (51-1000 emp.)

4.0/5

"Review about TensorFlow"

What do you dislike about TensorFlow?

I have felt issues with it sometimes because for embedded applications it can be quite heavy and complicated especially while converting some models t

3. Difficult Learning

Users find the difficult learning curve of TensorFlow frustrating, especially when dealing with high-level Keras and deprecated APIs.

See 7 mentions

See Related User Reviews

Deepesh V.

Small-Business (50 or fewer emp.)

5.0/5

"Tensorflow for all ML Use Cases"

What do you dislike about TensorFlow?

The learn curve is pretty steep and especially working with high level Keras.

Abhijeet B.

Small-Business (50 or fewer emp.)

4.5/5

"One Of The Most Powerful& Platform Indepedent Deep Learning Framework Used For Daily Basis"

What do you dislike about TensorFlow?

It's hard for new users to learn at beginner stage and the instructions sets, even though there are a lot of things to learn like probability and stat

4. Error Handling

Users find error handling frustrating due to complex messages and difficult debugging processes, especially for beginners.

See 6 mentions

See Related User Reviews

Lekesh M.

Small-Business (50 or fewer emp.)

4.0/5

"Good but complex – great for deep learning"

What do you dislike about TensorFlow?

The learning curve is steep. Especially for beginners. Sometimes the error messages are too complicated to understand and debugging is frustrating. Al

Abhijeet B.

Small-Business (50 or fewer emp.)

4.5/5

"One Of The Most Powerful& Platform Indepedent Deep Learning Framework Used For Daily Basis"

What do you dislike about TensorFlow?

It's hard for new users to learn at beginner stage and the instructions sets, even though there are a lot of things to learn like probability and stat

5. Slow Performance

Users experience slow performance with TensorFlow, especially when executing complicated models and training larger frameworks.

See 5 mentions

See Related User Reviews

Vibhor J.

Small-Business (50 or fewer emp.)

4.5/5

"TensorFlow Review"

What do you dislike about TensorFlow?

1. This platform might experience slowness while executing complicated models.

Verified User

Small-Business (50 or fewer emp.)

5.0/5

"Tensorflow A2Z explanation"

What do you dislike about TensorFlow?

Tensorflow is free, but our AWS Costs increased very rapidly. This is because of high infrastructure usage. Also, website performance is degraded.

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Verified User in Semiconductors

Mid-Market (51-1000 emp.)

12/1/2021

"Tensorflow ML platform"

4/5

What do you like best about TensorFlow?

Very powerful platform with Keras and other ml/dl libraries TFRecord is very efficient way of handling/storing data Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Very heavy software for inferencing though TFLite is good for mobile Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

9/27/2021

"Framework with ease access of AI ML APIs"

5/5

What do you like best about TensorFlow?

Graph visualisation in tensorflow is much better. Frequent updates as its backed by Google. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Tensorflow lacks behind in terms of computation and speed. It's only supported in NVIDIA GPUs. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

9/22/2021

"Awesome framework for use of image processing solutions"

5/5

What do you like best about TensorFlow?

Easy to train images and create models which you can use in multiple platforms like Windows, embedded devices and Mobile applications. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Sometime it is hang on medium config system otherwise it is ok. Review collected by and hosted on G2.com.

Verified User in Wireless

Mid-Market (51-1000 emp.)

9/20/2021

"Best for Neural Network Modelling and Other ML Project"

4.5/5

What do you like best about TensorFlow?

This is having well-defined and organized Classes for NN Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Sometimes dependencies give error during run time Review collected by and hosted on G2.com.

Aravind S.

Research Scholar

Small-Business (50 or fewer emp.)

8/7/2020

"Best way to jump start ML development"

4.5/5

What do you like best about TensorFlow?

The Keras interface is super cool for beginners. Once you get comfortable, there are ample options to customize the data access during training and export the model. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Its learning curve is a little steep once you cross the beginners threshold. But can't say it's the worst :). Review collected by and hosted on G2.com.

What problems is TensorFlow solving and how is that benefiting you?

I worked on using ML in solving classification of signal events from background events in data from Particle Physics experiments. I was able to make a new classifier that had 90%+ purity compared to the existing benchmark of 70%. The model deployment was also pretty quick with GPU back-end available. I am now working on porting things to FPGA based accelerator and the framework I am using supports TF too. The wide documentation and user support forums are plus points too. Review collected by and hosted on G2.com.

Verified User in Research

Small-Business (50 or fewer emp.)

8/7/2020

"Essential Toolkit for Machine Learning and Deep Learning Research and Development Projects"

4/5

What do you like best about TensorFlow?

Useful in all stages of development and production as well as most types of research work. It also gathers extensive pre-built and pre-trained systems and allows high level and low level access to most if not all components of the model. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

The team behind tensorflow is doing a great job and there is very little to dislike about it. Of course like every library, first comers will take a bit of time to get acquainted to it but it is getting easier to use with every version update.For new comers, watch out of the big shifts between some versions, which might require a bit of more work for compatibility. Review collected by and hosted on G2.com.

Recommendations to others considering TensorFlow:

1-Usually the team takes care of compatibility problems but the users must be aware that they exist. 2-Conda's installation facilitate the installation of dependency libraries such as CUDA for the GPU version. Review collected by and hosted on G2.com.

What problems is TensorFlow solving and how is that benefiting you?

I am solving research problems and production level applications in the domain of human-agent interactions (using several different modalities of the human expressions: speech, vision and motion capture mainly). Tensorflow facilitates both quick prototyping and implementation of production level systems. Review collected by and hosted on G2.com.

Verified User in Higher Education

Small-Business (50 or fewer emp.)

8/11/2020

"Using Deep Neurals Nets with a few lines of code"

4/5

What do you like best about TensorFlow?

The Keras API: it makes building, training, working with DNNs, CNNs very easy. It requires only a very small knowledge of (python) coding. Line by line one can add layers to the network to construct it, and the built-in optimizers do the training. No need to go through the pain of implementing backprop or optimization steps on your own. Also nice: the support for GPUs which really speeds up all computations. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

The (remnants of) older TF versions using weird and sometimes incomprehensible stuff like placeholder, logits, etc. Review collected by and hosted on G2.com.

Verified User in Chemicals

Mid-Market (51-1000 emp.)

8/8/2020

"Neural network at your hands"

4/5

What do you like best about TensorFlow?

Neural network application has become so easy. User now no need to focus on the development and optimising the models, and rather could stay more focused with the application part of it. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Required Memory and ram size could be optimized. Review collected by and hosted on G2.com.

Recommendations to others considering TensorFlow:

Using tensor flow the user gets the space to focus more towards the application perspective rather than spending time on its development. Review collected by and hosted on G2.com.

What problems is TensorFlow solving and how is that benefiting you?

Manufacturing requirements lated challenges. Modeling the frameworks using tensor flow is now easy and handy. Review collected by and hosted on G2.com.

Verified User in Computer Software

Small-Business (50 or fewer emp.)

9/1/2020

"I used TensorFlow for my some of course projects"

4.5/5

What do you like best about TensorFlow?

It is open-source and can use for different platforms. There are lots of tutorials available that can make help students when that stuck in some part. Also, I really like the visualization tools of that through TensorBoar. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

I have a windows machine and there is no support for Windows Review collected by and hosted on G2.com.

Recommendations to others considering TensorFlow:

The best way to use it is through python because there are lots of tutorials for that. Also, using Keras through TensorFlow is also fabulous Review collected by and hosted on G2.com.

What problems is TensorFlow solving and how is that benefiting you?

I used for my text analysis class and machine learning class to solve the class project on time series and CNN Review collected by and hosted on G2.com.