Convolutional Network Training System
A Convolutional Network Training System is a multilayer feedforward neural network training system that implements an convolutional network training algorithm to solve a convolutional network training task.
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- Example(s):
- Counter-Example(s):
- See: TensorFlow RNN.
References
2017
- https://github.com/fchollet/keras/blob/master/README.md
- QUOTE: Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow[2] or Theano[3]. 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.
Use Keras if you need a deep learning library that:
- Supports both convolutional networks and recurrent networks, as well as combinations of the two.
- QUOTE: Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow[2] or Theano[3]. 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.