Alternatives to TensorFlow
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We have 1 review for TensorFlow. The average overall ratings is 4.0 / 5 stars.
Overall Opinion: TensorFlow is one of the most advanced open source machine learning libraries available today. The learning curve is a bit steep, and the software documentation tracks a fast-moving target, with many incompatible changes made to both the API and the major supporting programming language, Python. The source code examples provided by Google don't always work with the latest software versions. TensorFlow models are accessible with most common programming languages that you might want to use for numerical programming, but the library only fully supports Python for training new models. Performance-wise, TensorFlow ranks with the very best machine learning libraries.
Pros: State of the art machine learning library. High performance, matching the best in the industry. Packages are available that will let you easily program voice recognition, machine translation, video tagging, and other advanced artificial intelligence tasks. Unique approach allows monitoring the training progress of your models and tracking several metrics. Great community support.
Cons: The only GPUs supported are Nvidia GPUs. Some machine learning packages support more types of models out of the box. The only fully supported programming language is Python. Some gaps in documentation. Sometimes updates break backward compatibility.
In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples,...
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This page was composed by Alternative.me and published by Alternative.me. It was created at 2018-05-01 01:46:57 and last edited by Alternative.me at 2020-03-06 07:49:43. This page has been viewed 3329 times.