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Difference between revisions of "SW:Machine Learning"

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(Software for Machine Learning)
(Software for Machine Learning)
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*[[SW:Keras | Keras]] - Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
 
*[[SW:Keras | Keras]] - Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
 
*[[SW:PyTorch | PyTorch]] - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
 
*[[SW:PyTorch | PyTorch]] - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
 +
*[[SW:Scikit_Learn | Scikit-Learn]] - An open-source software library for data mining and data analysis.
 
*[[SW:TensorFlow | TensorFlow]] - An open-source software library for Machine Intelligence
 
*[[SW:TensorFlow | TensorFlow]] - An open-source software library for Machine Intelligence
*[[SW:Scikit_Learn | Scikit-Learn]] - An open-source software library for data mining and data analysis.
 

Revision as of 08:37, 23 March 2018

Software for Machine Learning

  • Faster-RCNN using Tensorflow - Faster R-CNN is an object detection framework based on deep convolutional networks, which includes a Region Proposal Network (RPN) and an Object Detection Network. Both networks are trained for sharing convolutional layers for fast testing.
  • Keras - Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
  • PyTorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
  • Scikit-Learn - An open-source software library for data mining and data analysis.
  • TensorFlow - An open-source software library for Machine Intelligence