Difference between revisions of "Keras"

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* [http://towardsdatascience.com/neural-networks-hyperparameter-search-the-visualized-way-9c46781bea28 Neural Networks Hyperparameter Search, the Visualized Way | Vladimir Ilievski - Towards Data Science]
 
* [http://towardsdatascience.com/neural-networks-hyperparameter-search-the-visualized-way-9c46781bea28 Neural Networks Hyperparameter Search, the Visualized Way | Vladimir Ilievski - Towards Data Science]
  
Track and visualize Machine Learning experiments using [[Python#HiPlot |HiPlot]] Parallel Coordinates Plot in Python
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Track and visualize Machine Learning experiments using [[Python#HiPlot |HiPlot]] Parallel Coordinates Plot in [[Python]]
  
 
<img src="http://miro.medium.com/max/1250/1*mxBO17gD6RzDcqhwSb-3_Q.png" width="1000">
 
<img src="http://miro.medium.com/max/1250/1*mxBO17gD6RzDcqhwSb-3_Q.png" width="1000">

Revision as of 12:55, 8 January 2022

Youtube search... ...Google search

Note: Keras capability is now also part of Tensorflow

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. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

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YouTube Keras Series

Use Keras if you need a deep learning library that:

  • Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
  • Supports both convolutional networks and recurrent networks, as well as combinations of the two.
  • Runs seamlessly on CPU and GPU.

Neural Networks Hyperparameter Search, the Visualized Way

Track and visualize Machine Learning experiments using HiPlot Parallel Coordinates Plot in Python