TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
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Wolters Kluwer ATX
Score10 out of 10
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Wolters Kluwer offers the ATX Tax Preparation Software, presented as the easiest to use, most complete professional tax software for CPAs and Small Firms.
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 networks 2. 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).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I have been using ATX for at least 15 years. It is competitively priced for a part-time tax preparation firm like mine versus some of its competitors. The software is straightforward to use with very little training needed, and it includes the "paint by numbers" i.e. "interview" tax prep approach if desired (I virtually never use that as not needed, but it is a nice alternative for the more inexperienced preparer perhaps). I have found it to be pretty intuitive to use, and the file capability is very straightforward. I will continue to use it going forward, as while there are a couple of competitors that are slightly cheaper, certainly not enough difference to warrant changing software and again I'm overall pleased with the product despite the couple of areas that I commented are a bit clunky. Not a big deal. Overall good product.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
The preparation of the summary letter of the tax return module is a bit clunky but usable.
The preparation of the next year's quarterly estimates module, while automatic, is a bit clunky to override with more specific info versus what is automatically populated from the current year's return.
The print feature can be a little cumbersome getting to work on a local printer, resulting in some printing issues.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Turbotax is the most popular but not applicable if you are a tax preparer as it won't let you sign a tax preparer. Their tax prep version, Pro Series, is a bit more expensive, and I have found it not significantly different enough nor provide any applicable benefit to me changing. I also evaluated Drake tax prep software, but again, while it has some nice features, it could not justify the change effort compared to any incremental features I might use. ATX continues to offer the right product features for what I need at one of the cheapest costs.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
