TensorFlow vs. DMTK

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What is TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

What is DMTK?

DMTK provides a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces.
Why do developers choose TensorFlow?
Why do you like TensorFlow?

Why do developers choose DMTK?
Why do you like DMTK?

What are the cons of using TensorFlow?
Downsides of TensorFlow?

What are the cons of using DMTK?
No Cons submitted yet for DMTK
Downsides of DMTK?

Want advice about which of these to choose?Ask the StackShare community!

What companies use TensorFlow?
221 companies on StackShare use TensorFlow
What companies use DMTK?
1 companies on StackShare use DMTK
What tools integrate with TensorFlow?
15 tools on StackShare integrate with TensorFlow
No integrations listed yet

What are some alternatives to TensorFlow and DMTK?

  • scikit-learn - Easy-to-use and general-purpose machine learning in Python
  • Keras - Deep Learning library for Theano and TensorFlow
  • PyTorch - A deep learning framework that puts Python first
  • ML Kit - Machine learning for mobile developers (by Google)

See all alternatives to TensorFlow

Optimizing Machine Learning with TensorFlow
Google Announces Developer Preview of TensorFlow Lite
Google Announces TensorFlow Release 1.4


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