Difference between revisions of "Keras"

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*[http://keras.io/ Keras: The Python Deep Learning library]
 
*[http://keras.io/ Keras: The Python Deep Learning library]
 
*[http://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188 How to build your own AlphaZero AI using Python and Keras]
 
*[http://medium.com/applied-data-science/how-to-build-your-own-alphazero-ai-using-python-and-keras-7f664945c188 How to build your own AlphaZero AI using Python and Keras]
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*[[Transfer Learning With Keras]]
  
*[[Transfer Learning With Keras]]
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== YouTube Keras Series ==
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*[http://www.youtube.com/watch?v=Tp3SaRbql4k&list=PLcr1-V2ySv4SyknJVyJ6mw4VHelqsd66G Keras Prerequisites]
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*[http://www.youtube.com/watch?v=RznKVRTFkBY&list=PLZbbT5o_s2xrwRnXk_yCPtnqqo4_u2YGL Deep Learning: Keras | Data Science Courses]
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*[http://www.youtube.com/watch?v=edIMMTL2jlw&list=PLVBorYCcu-xX3Ppjb_sqBd_Xf6GqagQyl Deep Learning with Keras and Python]
  
 
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.
 
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.
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<youtube>URERdVb-lpg</youtube>
 
<youtube>URERdVb-lpg</youtube>
 
<youtube>dfQ8lZ9dTjs</youtube>
 
<youtube>dfQ8lZ9dTjs</youtube>
 
== YouTube Keras Series ==
 
*[http://www.youtube.com/watch?v=Tp3SaRbql4k&list=PLcr1-V2ySv4SyknJVyJ6mw4VHelqsd66G Keras Prerequisites]
 
*[http://www.youtube.com/watch?v=RznKVRTFkBY&list=PLZbbT5o_s2xrwRnXk_yCPtnqqo4_u2YGL Deep Learning: Keras | Data Science Courses]
 
*[http://www.youtube.com/watch?v=edIMMTL2jlw&list=PLVBorYCcu-xX3Ppjb_sqBd_Xf6GqagQyl Deep Learning with Keras and Python]
 

Revision as of 15:34, 24 June 2018

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YouTube Keras Series

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.