H2O vs Keras vs TensorFlow

H2O

79
113
+ 1
0
Keras

686
655
+ 1
12
TensorFlow

1.9K
2K
+ 1
72
Advice on H2O, Keras, and TensorFlow
Adithya Shetty
Adithya Shetty
Student at PES UNIVERSITY · | 5 upvotes · 19.4K views
Needs advice
on
TensorFlowTensorFlowPyTorchPyTorch
and
KerasKeras

I have just started learning some basic machine learning concepts. So which of the following frameworks is better to use: Keras / TensorFlow/PyTorch. I have prior knowledge in python(and even pandas), java, js and C. It would be nice if something could point out the advantages of one over the other especially in terms of resources, documentation and flexibility. Also, could someone tell me where to find the right resources or tutorials for the above frameworks? Thanks in advance, hope you are doing well!!

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      What is H2O?

      H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

      What is Keras?

      Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

      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 companies use H2O?
      What companies use Keras?
      What companies use TensorFlow?

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      What tools integrate with H2O?
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      What tools integrate with TensorFlow?

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      What are some alternatives to H2O, Keras, and TensorFlow?
      DataRobot
      It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.
      scikit-learn
      scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
      PyTorch
      PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
      CUDA
      A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
      ML Kit
      ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
      See all alternatives
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