Generated from real user reviews
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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
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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
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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
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
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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
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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
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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.
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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
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
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
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.
More modular approach than Pytorch and keras layers makes model making a lot easier Review collected by and hosted on G2.com.
Tensorflow has no such downsides but compared to pytorch a bit slower Review collected by and hosted on G2.com.
TensorFlow is widely appreciated for its versatility in handling diverse machine learning tasks and seamless deployment across platforms. Its rich ecosystem, including TensorFlow Lite and TFX, makes it ideal for both research and production. Review collected by and hosted on G2.com.
ensorFlow is a powerful tool, some users find its steep learning curve and verbose syntax challenging, especially for beginners. Review collected by and hosted on G2.com.
Highly flexible and scalable
Excellent support for building complex neural networks
Strong ecosystem
Active community and extensive documentation Review collected by and hosted on G2.com.
Steeper learning curve for beginners
Debugging can be challenging Review collected by and hosted on G2.com.
Ease of Use, they've got fantastic customer support. The number of features are far better than other open source software's available in the market. Ease of integration across various platforms and can easily implement by using frequently. Review collected by and hosted on G2.com.
Less flexibility in static computation graph. No support for windows Review collected by and hosted on G2.com.
Ability to execute low-level operations across many acceleration platforms. Easy to use, easily integration Review collected by and hosted on G2.com.
Slower competition speed, limited support Review collected by and hosted on G2.com.
It was good for Production-ready ML systems, large-scale model training, and cross-platform deployment Review collected by and hosted on G2.com.
Steeper learning curve compared to PyTorch for beginners
Verbose syntax in low-level APIs
Debugging can be complex in dynamic environments Review collected by and hosted on G2.com.
It’s great for training AI models efficiently, especially on large datasets. You can use it on mobile, web, or even in big production systems. Review collected by and hosted on G2.com.
It can be tricky for beginners compared to some other AI tools. Writing TensorFlow code can be more complex compared to other frameworks like PyTorch. Review collected by and hosted on G2.com.
I love how TensorFlow has a high quality in terms of training Review collected by and hosted on G2.com.
Sometimes it requires a huge amount of MB for a model Review collected by and hosted on G2.com.
TensorFlow offers incredible flexibility and scalability for building machine learning and deep learning models. I particularly appreciate the tight integration with Keras, which makes it easy to prototype models quickly. TensorBoard is also a great tool for visualizing training metrics. Review collected by and hosted on G2.com.
The learning curve can be steep for beginners, especially when working with low-level APIs or custom training loops. Also, compared to PyTorch, the syntax can feel more verbose and less intuitive at times. Review collected by and hosted on G2.com.
I love how flexible TensorFlow is. Whether I’m working on a small project or something more advanced, TensorFlow gives me the tools I need to build and fine-tune my models. The pre-trained models and built-in support for both mobile and cloud deployment are also a huge time-saver, letting me get up and running quickly. Review collected by and hosted on G2.com.
I find that TensorFlow can be a bit overwhelming at first, especially for beginners like me. Some of the advanced features, like creating custom layers or debugging complex models, took a while to understand. It also seems to run slower than other frameworks when I’m training larger models. Review collected by and hosted on G2.com.
