TensorFlow Reviews & Product Details

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Time to Implement

3 months

Return on Investment

11 months

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TensorFlow Reviews (136)

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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 plateforms 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 will 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 option 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 lerning curve is a little steep once you cross the beginners threshold. But can say its 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 knowlegde 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 if implementing backprop or optimizations steps on your own.

Also nice: the support for GPUs which really speeds up all computions. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

The (remants 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.

Vincenzo C.

Gerente de operaciones

Internet

Mid-Market (51-1000 emp.)

10/1/2019

"Make Neural Networks Recognize Objects and Images"

4.5/5

Verified User in Research

Small-Business (50 or fewer emp.)

8/5/2020

"Mechanical engineering PhD student who used TensorFlow in his research."

5/5

What do you like best about TensorFlow?

Rapid prototyping. Especially in building a neural network. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

The documentation some times don't have plenty of examples for different scenarios Review collected by and hosted on G2.com.

Radhika D.

Product Engineer

Computer Software

8/5/2019

"Most powerful machine learning framework to train model."

5/5

What do you like best about TensorFlow?

Three different crowds use Tensorflow : Researcher , data scientist and developer. Ideally they there were no so such which can collaborate three of them and provide better efficiency. Tensorflow was the solution they created to solve this problem. The library was to scale, it was made to run on multiple CPU's or GPU's and even mobile OS and it has several wrappers. From installation to deployment Tensorflow is the easiest among all the other platform which provide cross cross-platform deployment. Tensorflow provide decent event handling, graph management, image management and best feature is tensorboard. Review collected by and hosted on G2.com.

What do you dislike about TensorFlow?

Tensorflow is powerful in terms of performance but with less area to work with. It will restrict you from as tweaking of algorithms in it is quite a complex task. Since the release of Tensorflow 2.0, tensorflow has gain leverage over other framework but its community is still growing and sometime its very hard to find answers when you are stuck in your work. Review collected by and hosted on G2.com.