What users are saying about
4 Ratings
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Score 7 out of 100
30 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

Dragon Speech Recognition

Nuance Dragon Speech Recognition is still a good choice for those that need to use a lot of technical terms. Otherwise, other companies are putting together more simple and as effective software. Lacking support for macOS is a big minus.
Anonymous | TrustRadius Reviewer

TensorFlow

TensorFlow is great for most deep learning purposes. This is especially true in two domains:1. Computer vision: image classification, object detection and image generation via generative adversarial networks2. Natural language processing: text classification and generation.The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days).In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
Anonymous | TrustRadius Reviewer

Pros

Dragon Speech Recognition

  • The main advantage is that it calibrates itself around your tone and accent.
  • Integration with many apps and operative system is good.
  • Integrating custom words and acronyms is very easy, so, over time, recognition becomes very precise and customized.
Anonymous | TrustRadius Reviewer

TensorFlow

  • A vast library of functions for all kinds of tasks - Text, Images, Tabular, Video etc.
  • Amazing community helps developers obtain knowledge faster and get unblocked in this active development space.
  • Integration of high-level libraries like Keras and Estimators make it really simple for a beginner to get started with neural network based models.
Nitin Pasumarthy | TrustRadius Reviewer

Cons

Dragon Speech Recognition

  • It crashes constantly. Many times you would lose your work.
  • Nuance stopped supporting macOS a few eyes ago. That was an important minus. The last macOS supported version is now useless; it does not even start under the new macOS versions.
  • The delay between listening and writing is applications like Word is way too big. I always have to dictate into a simple text editor and then copy the content into Word. Very bothersome.
  • Apple dictation works much faster.
Anonymous | TrustRadius Reviewer

TensorFlow

  • RNNs are still a bit lacking, compared to Theano.
  • Cannot handle sequence inputs
  • Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
Nisha murthy | TrustRadius Reviewer

Usability

Dragon Speech Recognition

No score
No answers yet
No answers on this topic

TensorFlow

TensorFlow 9.0
Based on 1 answer
Support of multiple components and ease of development.
Anupam Mittal | TrustRadius Reviewer

Support Rating

Dragon Speech Recognition

Dragon Speech Recognition 2.0
Based on 2 answers
One of the worst companies in terms of customer service getting the download file because of a laptop upgrade took me months of work. No jokes.
Anonymous | TrustRadius Reviewer

TensorFlow

TensorFlow 9.4
Based on 2 answers
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
Anonymous | TrustRadius Reviewer

Implementation Rating

Dragon Speech Recognition

No score
No answers yet
No answers on this topic

TensorFlow

TensorFlow 8.0
Based on 1 answer
Use of cloud for better execution power is recommended.
Anupam Mittal | TrustRadius Reviewer

Alternatives Considered

Dragon Speech Recognition

Apple dictation is free and already integrated into the OS. It works very fast, and accuracy can be improved over time, depending on what OS version you have.
Anonymous | TrustRadius Reviewer

TensorFlow

Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
Anonymous | TrustRadius Reviewer

Return on Investment

Dragon Speech Recognition

  • It facilitates writing down first drafts of long documents.
  • Once they stopped supporting macOS, many colleagues stopped using it, so it turned out to be a poor financial investment for the department.
Anonymous | TrustRadius Reviewer

TensorFlow

  • Learning is s bit difficult takes lot of time.
  • Developing or implementing the whole neural network is time consuming with this, as you have to write everything.
  • Once you have learned this, it make your job very easy of getting the good result.
Shambhavi Jha | TrustRadius Reviewer

Pricing Details

Dragon Speech Recognition

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

TensorFlow

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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